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In Snapchat können Sie Ihre Snaps mit Filtern und besonderen Texten versehen, sowie Ihr Gesicht modifizieren - mit den "Effekten". Wie das genau geht und wo Sie die Effekte aktivieren und anwenden, zeigen wir Ihnen in diesem Praxistipp.

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The Showcase App for Masquerade Face Tracking & 3D Face Placement SDK

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Sie brauchen nur ein Bild, dann finden sie dich

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Sie brauchen nur ein Bild, dann finden sie dich

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Die App FindFace sorgt in Russland für heftige Diskussionen um die Privatsphäre, weltweit macht die Bilderkennungs-Software Schlagzeilen. Hinter der Anwendung steht ein Unternehmen, das mit dem Skandal richtig Kasse machen könnte - bei Privatfirmen und Sicherheitsbehörden in ganz Europa.

In Freizeitparks blitzt es andauernd. Vielleicht stürzen sich Besucher gerade mit der Achterbahn in die Tiefe, oder sie lassen sich auf der Wasserrutsche nass spritzen. Auch der Schocker im Geisterschloss ist ein perfekter Moment für ein Foto. Einmal die Arme hochreißen und vor Freude jodeln - alles gut dokumentiert.

Geht es nach Alexander Kabakov bleibt es aber nicht dabei: Am Ende des tollen Tages soll ein Automat am Ausgang noch einen letzten Schnappschuss machen. Kabakovs Software wird dann das Bild jeden einzelnen Besuchers scannen, in nur einer Sekunde das Datenmaterial der vergangenen Stunden durchforsten. Sie kann den Besucher wiederfinden, egal wo er wann im Park war, und dann gibt es die Fotos als Paket zum Mitnehmen, ganz automatisch. Die Leute lieben Andenken.

Kabakov weiß aber auch, dass in Freizeitparks viel gestohlen wird - auch die Überwachungskameras will er deshalb an seine Software anschließen. Der Algorithmus kann Fotos und Filme abspeichern, sie live mit dem Internet und mit Polizeidatenbanken abgleichen. Das Programm findet die Social-Media-Profile von Tätern und Opfern, stellt die Kontaktdaten fest. Jederzeit weiß es, wo sie sich im Park aufhalten. Auffälliges Verhalten interpretiert der Algorithmus sogar, bevor überhaupt ein Verbrechen stattgefunden hat. Kabakov empfiehlt seinen Kunden eine enge Zusammenarbeit mit der Polizei. Seine Software könne die Behörden informieren, ganz automatisch. Die Leute lieben Sicherheit.

Auffälliges Verhalten interpretiert der&nbsp;Algorithmus, bevor überhaupt ein&nbsp;Verbrechen stattgefunden hat

Vielleicht hat aber auch ein Stalker ein Ziel neben der Pirateninsel entdeckt. Er macht unbemerkt einen Schnappschuss mit seinem Handy, auch er hat Zugriff auf den Algorithmus, denn Soziale Netzwerke gehören ebenfalls zu Kabakovs Kunden. Der Stalker nutzt das Programm also, um alles über sein Gegenüber herauszufinden. Wie gesagt, ein Foto reicht aus, und schon kennt er die Vorlieben, die Bilder und die Freunde einer jeden Person auf seinen Fotos.

Die Leute lieben aber auch ihre Privatsphäre, und deshalb findet Kabakov das natürlich nicht gut. „Man kann unsere Technologie auch für schlechte Zwecke einsetzen, aber daran können wir nichts ändern", sagt er im Gespräch mit WIRED.
+++ Mehr von WIRED regelmäßig ins Postfach? Hier für den Newsletter anmelden +++
Verhandlungen mit einem großen Vergnügungspark führt der 29-jährige Unternehmer tatsächlich. Firmen stünden gerade Schlange bei seinem Startup NTechLab aus Moskau. Das Bilderkennungsprogramm, dass er und sein Mitgründer Artem Kukharenko (26) entwickeln, scheint gerade der Renner zu sein. Im Dezember gewann das Unternehmen die MegaFace-Challenge der Universität Washington. Mit einer Erfolgsquote von 73 Prozent beim Scan von einer Million Bilder war ihr Algorithmus bei der Wiedererkennung sogar erfolgreicher als Googles FaceNet. Freunde von NTechLab programmierten mit ihm die skandalträchtige App FindFace.

Im Frühjahr taucht die Anwendung auf VKontakte (VK) auf, der russischen Alternative zu Facebook. FindFace ist in der Lage, Gesichter auf einem Bild zu erkennen und die rund 200 Millionen Accounts des Netzwerks eigenständig und innerhalb von Sekunden nach ihnen zu durchsuchen. 500.000 User hat die App mittlerweile, drei Millionen Suchanfragen gab es bislang - sie entwickelt sich zu einem Privatsphäre-Fiasko.

Grund für unseren Erfolg ist der riesige&nbsp;Berg an Daten, mit dem unser&nbsp;Algorithmus lernen konnte

Die Gründer von NTechLabs

Unternehmen, die sogenannte Facial Recognition, also Gesichtserkennung anbieten, sprießen gerade weltweit aus dem Boden. Auch die Großen wie Microsoft, Facebook und Google experimentieren mit derartiger Software. Menschen automatisch orten und im Netz wiederfinden zu können, das verspricht völlig neue Möglichkeiten für soziale Medien, Werbetreibende, aber auch Versicherungen und Behörden. Wo Datenschützer das ultimative Überwachungs-Tool vermuten, versprechen sich andere Profit und Sicherheit. Kein bereits existierender Ansatz hat das in den vergangenen Monaten so deutlich gemacht wie der von Kabakov und Kukharenko.

„Grund für unseren Erfolg ist der riesige Berg an Daten, mit dem unser Algorithmus lernen konnte. FindFace hat uns sehr geholfen", erklären die Gründer. Was sie einen Erfolg nennen, nannten Medien weltweit in den vergangenen Wochen allerdings eine Katastrophe.

Im April nutzte der Fotograf Egor Tsvetkov FindFace dazu, willkürlich Menschen in der U-Bahn zu fotografieren und sie dann im Internet wiederzufinden. In siebzig Prozent der Fälle war er erfolgreich, sein Projekt „ Your Face Is Big Data" machte Schlagzeilen. Sollte es wirklich so leicht sein, die Privatsphäre einer Person auszuhebeln? Doch dabei blieb es nicht. Auch der Programmierer Andrei Mima beschreibt in einem Post bei VK, wie er zwei Frauen mithilfe eines alten Bildes ohne Probleme wiederfand. Das Foto war sechs Jahre alt.

Das schlimmste Beispiel aber lieferten User der Plattform Dvach, ein russischer 4chan-Klon. Sie nutzten die Software, um das Privatleben von Pornodarstellerinnen gegen deren Willen in die Öffentlichkeit zu zerren. Sie dokumentierten jeden Fund zu einer der Schauspielerinnen in einem Forum, überfluteten die Frauen, ihre Familie und Freunde mit Hasskommentaren und Nachrichten. Die Organisatoren der Kampagne gaben „moralische" Beweggründe für ihr Handeln an. Zu diesem Zeitpunkt sprachen Medien und Datenschützer von FindFace schon als einem „Instrument der totalen Öffentlichkeit".

Europa hat ein gespaltenes Verhältnis zu dieser Art von Technologie

Man könnte meinen, all das habe den Erfolgskurs von FindFace und NTechLabs beendet. Weit gefehlt: „Wir verhandeln auch mit großen sozialen Netzwerken außerhalb von Russland und mit mittelständischen Unternehmen in Europa", sagt Kabakov.

Die Europäische Union hat ein gespaltenes Verhältnis zu dieser Art von Technologie. Datenschützer bekämpfen sie seit Jahren, es gibt Gerichtsurteile, die Hersteller von Gesichtserkennungs-Software in die Schranken weisen. Gerade erst hat Facebook seinen neuen Dienst Moments in Europa gelauncht, dabei aber auf das Feature zur automatischen Gesichtserkennung verzichtet. Das neue Datenschutzabkommen der EU setzt der Bildverarbeitung der sozialen Netzwerke große Hürden. Ein Skandal wie der um FindFace scheint in der EU voerst unwahrscheinlich, selbst wenn NTech Labs seine Technologie hierhin verkauft.

Wirft man aber einen Blick an die Außengrenzen Europas und dorthin, wo die Sicherheitsbehörden arbeiten, sieht das Verhältnis zur Facial Recognition schon ganz anders aus. Die EU plant, ihr grenzpolizeiliche Zentralsystem EURODAC zu erweitern. Es soll künftig auch Gesichtsbilder speichern und die Fähigkeit zur Gesichtserkennung erhalten. Neu aufgenommene Fotos von Personen können dann bei einer Kontrolle mit bereits vorhandenen Personendaten abgeglichen werden, um die Identität zu verifizieren. Möglich ist aber auch die Suche nach Gesichtern im schon vorhandenen Datenbestand.

Wir haben auch mit Firmen verhandelt, die im europäischen Grenzschutz involviert sind

Alexander Kabakov, Gründer von NTechLabs

Schon länger ist bekannt, dass intelligente Grenzen, sogenannte Smart Borders, integraler Bestandteil der Strategie der EU-Grenzschutzagentur FRONTEX sind. Das europäische Grenzüberwachungssystem trägt den Namen EUROSUR, es geht dabei nicht nur um internationale Zusammenarbeit, Grenzzäune und das Erfassen von Fingerabdrücken und das Speichern von Flugdaten. „Das System setzt auf Big Data, die Überwachung der Küsten durch Satelliten und auf Algorithmen zur Auswertung", erklärte der Aktivist und Netzpolitik-Autor Matthias Monroy kürzlich auf der Transmediale 2016 in Berlin. Kommen jetzt auch noch die Speicherung und systematische Verarbeitung von Gesichtsdaten hinzu, wirken die Diskussionen wie die um die Abnahme von Fingerabdrücken an der Grenze dagegen fast schon kleinkariert.

Wer mit den Unternehmern Kabakov und Kukharenko spricht, bekommt schnell den Eindruck, dass gern Teil dieser Entwicklung wären. Die beiden haben schon in der Vergangenheit der Polizei in Moskau geholfen, Verbrechen aufzuklären. 150.000 Kameras arbeiten dort bereits mit der Software von NTechLabs, Zweifel an den russischen Sicherheitsbehörden haben die Gründer nicht. Sie argumentieren vor allem mit den Sicherheitsvorteilen durch ihr Produkt. Gerade in Europa sei die Gefahr durch Terrorismus doch gerade so hoch.

Am Schluss sagt Kabakov etwas, das aufhorchen lässt. Vergangene Woche sei er auf einer Sicherheitskonferenz in der EU gewesen. „Wir haben auch mit Firmen verhandelt, die im europäischen Grenzschutz involviert sind", sagt er. Welche, möchte er aber nicht sagen. Sicherheitsbehörden lieben Anonymität, wenn es um sie selbst geht.

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Sie brauchen nur ein Bild, dann finden sie dich

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Die App FindFace sorgt in Russland für heftige Diskussionen um die Privatsphäre, weltweit macht die Bilderkennungs-Software Schlagzeilen. Hinter der Anwendung steht ein Unternehmen, das mit dem Skandal richtig Kasse machen könnte - bei Privatfirmen und Sicherheitsbehörden in ganz Europa. In Freizeitparks blitzt es andauernd.

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Lies Rezensionen, vergleiche Kundenbewertungen, sieh dir Screenshots an und erfahre mehr über BioID Gesichtserkennung. Lade BioID Gesichtserkennung und genieße die App auf deinem iPhone, iPad und iPod touch.

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3 Fascinating Search Engines That Search For Faces

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3 Fascinating Search Engines That Search For Faces

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Wherever you go, your face exposes you. Facial recognition in combination with surveillance cameras is a powerful tool that can track your every step.

Search engines are becoming ever smarter in managing massive amounts of data. Face search and facial recognition are just a few of many tools that target individuals. All public data combined, they can quickly unravel what an individual has been up to.

Here are three face search engines that may give you a thrill. Let's see what they reveal about you or your friends.

Did you know that you could search Google by images? Rather than a keyword, you can use an image to search for similar images. Click the camera icon to search by image. You can either paste the image URL or upload an image and Google will find similar images.

Moreover, you can make Google search for faces only by adding a small bit of code. When you go to Google Images Search, enter your query, hit Enter, and then add "&imgtype=face" (without the quotes of course), either to the end of the search URL or right before another string starting with &. This will further improve the results of your face-related search.

Below is a before and after example that you can try for yourself:

Google also offers its face recognition in Google Photos.

2. PicTriev - Face Recognition

PicTriev goes one step further by actually searching for similar faces. Unfortunately, the feature is limited to look-alike celebrities.

What you do is add the URL or upload a photo in JPG or JPEG format, with a size no larger than 200 KB, and the search engine will return matching celebrity images found online.

For demonstration purposes, I used my own headshot. While PicTriev correctly identified me as overwhelmingly female, the number one match was Jason Clarke. The age estimation of 30, however, is very flattering.

It works much better if you search for a celebrity image.

PicTriev also lets you compare the similarity of two faces or estimate whether photos of two faces are the same person. Click the meter icon in the top right, upload two photos, select similarity or identity, and let PicTriev do its calculations.

Before you add photos, be sure to follow the instructions on formatting for best results.

3. PimEyes - Face Search

Similar to Google's reverse face search, PimEyes uses images and face recognition to search for similar faces on over 10 million websites. The demos using celebrity faces like Angelina Jolie or Zac Efron look promising.

For example, you can search for Jennifer Aniston's face using four different photos at once. PimEyes will find the original photos, as well as other shots of Aniston. Curiously, while the app does find the original pictures used for the search, the similarity is only scored at around 70%. Shouldn't it be closer to 100%? Or does the algorithm take image resolution, size, brightness, and other digital alternations into account?

I tried the service myself, providing PimEyes with three different photos of me to analyze. The GIF below illustrates the process.

There are other photos of me to be found online, but PimEyes didn't spot them. The best it could find was someone else's face with a 62% similarity. Apparently, my pictures do not appear on one of the 10 million sites analyzed by PimEyes.

Bonus 1: FindFace - Face Search for VK.com

VK.com is Russia's largest social network. And FindFace promises to find anybody on VK.com. To test this service, log into your VK account, grant the app permissions, and upload a JPG or PNG photo no larger than 5 MB.

You can fine-tune the initial result by gender, age, location, and relationship status.

In my case, it did find several surprising look-a-likes, but nothing too crazy.

Meanwhile, Russian photographer Egor Tsvetkov used FindFace for an art project that he termed Your Face Is Big Data. He took photos of strangers on the subway, found them on VK.com using FindFace, and learned a whole lot about their identity that they might never have told him, had he simply asked. The project highlights how invasive a simple photo can be.

Bonus 2: Betaface - Facial Recognition Demo

Betaface offers facial recognition similar to PicTriev's photo identification. You can upload an image or send the image URL and the face search engine will isolate and characterize all the faces it can identify in the photo.

Next, you can compare faces (with other images you uploaded), search celebrities, or search Wikipedia for each recognized face. The results will appear in the Face recognition matches table.

This tool is useful for uploading and comparing photos in bulk. In addition to classifying faces based on 101 pro facial points, you can also enable extended geometric and color measurements, as well as a "best face only" feature. Both of these slow down the processing, but will increase the quality of your matches.

Similar to PicTriev's similarity feature, TwinsOrNot.net will estimate how likely it is that the two photos you upload are showing twins. This tool is powered by Microsoft.

I tested TwinsOrNot.net with two photos of myself that were taken five years apart. And it wasn't to be fooled. Rather than identifying me as a twin of myself, TwinsOrNot.net guessed that I must be the same person. Great catch!

Interestingly, the site highlighted a small section of the photos to underscore its decision.

What Does Your Face Reveal?

Face recognition and search tools have a range of useful applications. Not only can they help the police identify suspects from security camera footage. They can also help professional photographers or media companies index visual material and build large and easy to search archives. Moreover, face recognition can replace passwords and keys.

But there's a dark side to every tool. Not too long ago, the Facezam viral marketing scam highlighted what face recognition could do to your privacy. The creators of the app claimed that - within seconds - you could find anyone's Facebook profile by uploading a picture of their face. Essentially, FindFace for Facebook.

While such an app violates Facebook's privacy policies, Facebook itself uses facial recognition to identify people in photos (unless you disabled the feature). And presumably, Facebook's face search engine is better than the FBI's identification tool. Why? Because you've been voluntarily stuffing Facebook's database with a huge variety of photos, all helping its AI improve faster than the FBI could ever dream of. And it's all legal.

While you can't always hide your face, you can protect your privacy online. How do you keep your face private?
Image Credit: Zapp2Photo via Shutterstock

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3 Fascinating Search Engines That Search for Faces

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Wherever you go, your face exposes you. Facial recognition in combination with surveillance cameras is a powerful tool that can track your every step. Search engines are becoming ever smarter in managing massive amounts of data. Face search and facial recognition are just a few of many tools that target individuals.

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Why Facial Recognition Will Change Marketing Forever

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Why Facial Recognition Will Change Marketing Forever

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Why Facial Recognition Will Change Marketing Forever

Facial recognition is the next biggest trend - one that digital marketers need to pay strong attention to as it is taking front stage in marketing trends. Recently, MasterCard announced selfie payments - a payment method using a selfie from a smartphone to pay for a bill. A clear indication that facial recognition will also play a huge part in digital marketing with consumers.

In the case of MasterCard, selfie payments will be a new means of authentication. But it is also a clear indication of how personal affinity from a consumer perspective also plays a huge factor in this endeavor. By 2020, the facial recognition market will reach a $6 billion worth. Not a small chunk of change by any means. Companies like MasterCard are obviously making strides towards facial recognition already. Snapchat's geo filters and special facial recognition effects are also aimed in this direction.

Did you know that companies like Facebook have also been using facial recognition for quite some time now? Sure you do. It was the last time you tagged someone in a photo. Chances are that Facebook even made recommendations on who that person is in the photo using predictive intelligence. Quite clever, right?

How Facial Recognition Technology Works

In essence, facial recognition technology functions on very basic principles. It is a biometric piece of software that utilizes a unique algorithm to identify with facial features of each individual in a digital image and pinpoint certain patterns. For instance, in the case of Facebook, each facial recognition exercise invoked on a digital image entails in pinpointing certain elements of one's face. The algorithm tends to evaluate the distance from one person's mouth to their nose, nose to eyes, mouth to eyes, etc. In doing so, it can also predict more easily over the course of time, certain patterns and ultimately, authenticate the identity of an individual.

Facebook's facial recognition technology has a 97% accuracy rate of authenticity. Mind blowing, right? So much so that it even surpasses the current accuracy of FBI's security technology. That is actually a bit sobering though.

Facial Recognition is NOT New

Google is one of the other companies that has been using facial recognition technology for some time now as well. Well, maybe not in the literal sense of facial recognition. Data personalization has been a dominant part of Google in their effort to customize the nature of user content. For instance, many of us have a Gmail account these days. The next time you are logged into your Gmail account, perform a search query on Google. Then, open an incognito tab or a separate browser where you are browsing Google publicly and then perform the same search query. Take a closer look at the SERP (Seach Engine Results Page) and how each search result is positioned. Don't be surprised if both SERP views vary.

Google personalizes SERPs for logged-in users vs public users. Quite evident as to why as well for obvious reasons. This method was also quite intricate in the earlier days of Google+. Especially in the effort to invoke stronger community development and engagement of its users. Other social media platforms such as Pinterest, LinkedIn, Snapchat are also using facial recognition to help boost their user base.

Evolution of Facial Recognition Technology in Business

During the next 5 years you will see a huge inclination towards facial recognition technologies. A good portion of existing technologies, for that matter, will be replaced. Why? Consumers are all about exposure and personalization these days. I mentioned the case of MasterCard using selfies as a payment method. In the same respect, new facial recognition technology will allow the users to personalize their shopping experience. A vast majority of this has to do with authentication and also added security.

You see, geo-fencing is currently a huge part of digital advertising. Especially in the way companies attempt to engage with consumers based on their shopping behavior. That geo-fencing type technology will most likely evolve or even be replaced. As consumers we are willing giving away our personal information to brands. This includes our fingerprints, geo-location, photos, and even storing certain shopping preferences. Many companies are not fully leveraging these features to invoke targeted consumer engagement.

Truth be told a good portion of companies these days including marketing agencies are throwing marketing dollars towards campaigns that are not strategically focused.

Privacy & Consent Debacle

Facial recognition technology faces a plethora of challenges. One of the main ones consists of privacy. In today's fast-paced digital world many consumers are heavily concerned about the privacy aspect behind it. Accuracy in facial recognition technology also remains a questionable area for many consumers. What if a malfunction occurs and it creates a problematic situation for a consumer? While privacy is one area of concern, consent remains an unresolved territory. Acquiring permission for facial recognition technology usage may in fact be difficult to accomplish. A lot of hinges on privacy from consumer standpoint. However with the transparency in social media, this may in fact be a lot more feasible to accomplish than anticipated.

Snapchat now has over 200 million users of which half of those engage on daily basis. Facebook's user base is exceeding 1.5 billion people. LinkedIn acquires 2 new users every second with a projected goal of 3 billion ( currently 433 million). Pinterest is the largest visual and image-driven search engine in the world.

Sure, on a mass scale there might still be privacy and consent issues with consumers. However, judging by the stats above these are areas that brands will certainly overcome.

Get In While You Can

Early adoption can be challenging for many brands. Truth be told, many companies are hesitant towards early adoption for perfectly valid reasons. For example, there can be ramifications due to unforeseen deficiencies. Sure, any piece of technology, software, or even business tactic while in its infancy may in fact result in some unknown drawbacks. However, for the most part there usually are some advantageous components that will definitely yield new business potential.

Do you remember when Snapchat was deemed as nothing more than a sexting app? Perhaps, you also remember when nobody thought that Facebook would dominate MySpace. How about not realizing that the web is the next greatest thing to sliced bread? Well, something like that anyway.

Technology will evolve. Some old tech will be be diminished or disappear. The same methodology applies to business. Facial recognition technology will play a huge role in day-to-day consumer engagement. Certain industries such as automotive, marketing, and retail will probably be one of the first few to fully embrace facial recognition technology.

Image: Copyright: ' http://www.123rf.com/profile_julos ' / 123RF Stock Photo

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Why Facial Recognition Will Change Marketing Forever

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Facial recognition is the next biggest trend - one that digital marketers need to pay strong attention to as it is taking front stage in marketing trends. Recently, MasterCard announced selfie payments - a payment method using a selfie from a smartphone to pay for a bill.

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Face recognition app FindFace may make you want to take down all your online photos

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Face recognition app FindFace may make you want to take down all your online photos

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How would you like it if you some stranger snapped your picture while you were out and about and then used that photo to find out your real name and other information about you?

FindFace facial recognition may not be brand new, but the app boasts of a 70% accuracy as in snap a photo of a stranger and then find out who that person is via their social media profile. For now, it works with VK, which is like a Russian version of Facebook, but it has been downloaded 500,000 times since February and has searched about three million photos.

"With this algorithm, you can search through a billion photographs in less than a second from a normal computer," FindFace co-founder Alexander Kabakov told The Guardian. Talking about how the app could revolutionize dating, he added:

"If you see someone you like, you can photograph them, find their identity, and then send them a friend request. It also looks for similar people. So you could just upload a photo of a movie star you like, or your ex, and then find 10 girls who look similar to her and send them messages."

If that's not creepy enough for you, then there's the Orwellian aspect of law enforcement and retail being the "real money-spinner" for the face recognition technology.

NTech Lab, which created FindFace, "upstaged" over 100 other facial recognition algorithms in the University of Washington's MegaFace challenge by achieving a 73.3% accuracy on one million faces; it even beat Google's "FaceNet" which had previously reached a 99.63% accuracy level ( pdf) in different testing.

After winning the competition, NTech suggested its face recognition technology could be used by law enforcement "to search for and identify possible or wanted criminals using streaming video cameras," or used by customs to identify people on watchlists, or to "verify and monitor" fans in real-time such as at sporting or entertainment events.

Since winning MegaFace, law enforcement has shown an interest. Russian police are using the technology in a pilot program via Moscow's video camera network to search for criminals. NTech co-founder Alexander Kabakov told The Guardian, "It's nuts: there were cases that had seen no movement for years, and now they are being solved."

Sometimes it seems like face recognition is everywhere, used for social media sites and even at Church. The NSA has intercepted "millions" of photos daily and fed the "facial recognition quality images" into its facial recognition programs. The FBI was supposed to have 52 million photos in its NGI face recognition database by 2015 and was reportedly populating the database with photos snapped in the field. Face recognition is used by other law enforcement agencies such as police in Boston and San Diego.

The thing about FindFace is that it is not only fast, but it requires less computational resources than most facial recognition solutions; by lowering the computational costs, the Observer suggested, "N-Tech could make it feasible for the authorities to log everyone, just in case. Like the cops already do with license plates."

Some people may find it really cool, but it's already proved handy for stalking. Russian art school student Egor Tsvetkov took photos of strangers sitting across from him on the subway and then published his " Your face is big data" project; acting " like a Web stalker," he linked the strangers' photos to their VK profiles. Tsvetkov said that in theory, FindFace "could be used by a serial killer or a collector trying to hunt down a debtor."

Immediately afterwards, the 2chan Russian imageboard launched a campaign using FindFace and VK to deanonymize and dox porn actresses. In the wrong hands, a tool like FindFace could be a death sentence for dissidents and victims of domestic abuse.

The idea of strangers or law enforcement using a face recognition app that requires little computational power to put a name to your face for no reason other than they want to? That should raise your privacy hackles. It may not be the only face recognition tech in the game, but it could spell an end to anonymity in public, open the door for harassment by strangers and put countless people at risk.

However, some people like Dr. Alec Couros, who have been an "indirect victim of catfishing," would like for FindFace to be more widely available. He told The Observer, "If Facebook actually publicly used the tool, well ... watch their user count drop like crazy." Couros used FindFace to identify over 20 fake VK profiles using his pictures.

When Kasperksy Lab tested FindFace, it even identified a Kaspersky employee who doesn't post any photos in any social networks; someone had posted his picture on a different social network and another user stole it and used it as his profile picture.

Kaspersky said FindFace "successfully found 9 of 10 test 'victims' in the office." A positive note was that FindFace was two or three times less accurate if you take photos of strangers from a distance in the subway. If you crop and zoom, however, FindFace works again.

If a photo is taken during daylight, "with an average smartphone," then it would be good enough to work for FindFace. If you don't want to be "detected literally by any stranger with a phone," then Kaspersky suggested deleting old photos from VK accounts, or trying to shield your face such as by wearing a hoodie.

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Face recognition app FindFace may make you want to take down all your online photos

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How would you like it if you some stranger snapped your picture while you were out and about and then used that photo to find out your real name and other information about you?

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FaceFirst is creating a safer and more personalized planet through best-in-class facial recognition software. With the FaceFirst face recognition platform, retailers, stadiums, transportation centers, law enforcement agencies and other organizations can detect and deter threats in real time, while also leveraging biometric data to personalize service and verify personal identity. Using artificial intelligence and machine learning, FaceFirst is highly accurate and scalable, offering a full range of surveillance, mobile, access control and desktop forensic face detection capabilities. FaceFirst offers a robust SDK/API for integration into a variety of systems and platforms.

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Face Recognition Software: Best-in-Class Enterprise Facial Recognition Security Platform

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FaceFirst is creating a safer and more personalized planet through best-in-class facial recognition software. With the FaceFirst face recognition platform, retailers, stadiums, transportation centers, law enforcement agencies and other organizations can detect and deter threats in real time, while also leveraging biometric data to personalize service and verify personal identity.

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OMOTE / REAL-TIME FACE TRACKING & PROJECTION MAPPING

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OMOTE / REAL-TIME FACE TRACKING & PROJECTION MAPPING

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OMOTE / REAL-TIME FACE TRACKING & PROJECTION MAPPING

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NOBUMICHI ASAI (PLANNER / PRODUCER / DIRECTOR / TECHNICAL DIRECTOR) JIN HASEGAWA (CG DESIGNER - SPADE) TAKASHI ISHIBASHI (CG DESIGNER - SPADE) AYAKA MOTOYOSHI (PRODUCTION MANAGER -P.I.C.S.) KOJI KOJIMA(PRODUCER) AYA KUMAKURA (PRODUCTION MANAGER) KAZUHIRO NAKAMURA (COLORIST - McRAY) KENJI NAKAZONO (PHOTOGRAPHER - CREATIVE STUDIO WORKS) KIMIHIRO MORIKAWA (PHOTOGRAPHER - SHOOTING & LIGHTING) RHEA TOR'S INC.

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Dank dieser interaktiven Installation stehst du auf einmal mitten im Universum

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Dank dieser interaktiven Installation stehst du auf einmal mitten im Universum

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Bilder mit freundlicher Genehmigung der Künstler

Nur zu gerne würden wir mit den Kindern in der japanischen Stadt Akita tauschen-denn sie dürfen dank teamLabs neuer interaktiver Installation in einem Meer von Elektronen schwimmen, mit Planeten spielen und im Polarlicht baden. Das Interactive Magnetic Field Theatre im TDK Museum versetzt seine Besucher ins Weltall, eine atomare Matrix und lebensgroße Landschaften. Die Wahrnehmung wird dabei im Stil von Yayoi Kusamas Infinity Room verzerrt, allerdings arbeitet die interaktive Installation nicht mit Spiegeln, sondern digitalen Projektionen.

Besucher erhalten so die Möglichkeit, sich frei in einem Raum zu bewegen, der völlig von Bildern umgeben ist und „können so eine visuelle Darstellung der Magnetkräfte erleben, die für das menschliche Auge sonst unsichtbar sind", beschreibt teamLab das Projekt. Die Bilder an den Wänden, der Decke und dem Boden verändern sich in Echtzeit und reagieren auf die Bewegungen der Besucher. Wie bei den meisten von teamLabs eindringlichen Installationen nimmt auch hier jeder Besucher das Kunstwerk ganz individuell wahr und hat somit ein einzigartiges Erlebnis. Andere Ausstellungen von teamLab wie der interaktive Blumengarten oder die animierten Digitalgemälde sind ebenso atemberaubend, doch das Interactive Magnetic Field Theatre bietet zudem einen pädagogischen Mehrwert: Kinder (und Erwachsene) können hier alles über Sternensysteme lernen und hautnah erleben, wie Elektrizität sich zwischen den Atomen bewegt.

Seht hier weitere Bilder und ein Video des Interactive Magnetic Field Theatre:

Schaut euch weitere Projekte von teamLab auf ihrer Website an.

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Dank dieser interaktiven Installation stehst du auf einmal mitten im Universum

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Bilder mit freundlicher Genehmigung der Künstler Nur zu gerne würden wir mit den Kindern in der japanischen Stadt Akita tauschen-denn sie dürfen dank teamLabs neuer interaktiver Installation in einem Meer von Elektronen schwimmen, mit Planeten spielen und im Polarlicht baden. Das Interactive Magnetic Field Theatre im TDK Museum versetzt seine Besucher ins Weltall, eine atomare Matrix und lebensgroße Landschaften.

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Nach dem Koitus oder nach dem Tod? Zur Begriffsverwirrung von „postdigital“, „Post-Internet“ und „Post-Media“

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Nach dem Koitus oder nach dem Tod? Zur Begriffsverwirrung von „postdigital“, „Post-Internet“ und „Post-Media“

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Slavoj Žižek: “Pathological Narcissus” as a Socially Mandatory Form of Subjectivity

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Slavoj Žižek: “Pathological Narcissus” as a Socially Mandatory Form of Subjectivity

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Cops Have a Database of 117M Faces. You’re Probably in It

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Cops Have a Database of 117M Faces. You’re Probably in It

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It's no secret that American law has been building facial recognition databases to aide in its investigations. But a new, comprehensive report on the status of facial recognition as a tool in law enforcement shows the sheer scope and reach of the FBI's database of faces and those of state-level law enforcement agencies: Roughly half of American adults are included in those collections. And that massive assembly of biometric data is accessed with only spotty oversight of its accuracy and how it's used and searched.

The 150-page report, released on Tuesday by the Center for Privacy & Technology at the Georgetown University law school, found that law enforcement databases now include the facial recognition information of 117 million Americans, about one in two U.S. adults. It goes on to outline the dangers to privacy, free speech, and protections against unreasonable search and seizure that come from unchecked use of that information. Currently the report finds that at least a quarter of all local and state police departments have access to a facial recognition database-either their own or another agency's-and law enforcement in more than half of all states can search against the trove of photos stored for IDs like drivers' licenses.

"Face recognition technology lets the police identify you from far away and in secret without ever talking to you," says Alvaro Bedoya, the executive director of the Center for Privacy & Technology. "Unless you've been arrested, the chances are you're not in a criminal fingerprint database or a criminal DNA database either, yet by standing for a driver's license photo at least 117 million adults have been enrolled in a face recognition network searched by the police or the FBI." He went on to describe the databases as an unprecedented privacy violation: "a national biometric database that is populated primarily by law abiding people."

The report notes that no state has passed comprehensive legislation to define the parameters of how facial recognition should be used in law enforcement investigations. Only a handful of departments around the country have voluntarily imposed limits on searches to require reasonable suspicion or necessitate that they be used only in investigation of a serious crime. Similarly, few departments have enacted standards for testing the accuracy of their digital systems or teaching staff to visually confirm face matches-a skill that seems like it would be innate, but actually requires specialized training.

The report also raises unexpected concerns about the potential for racial bias in the facial recognition databases. Law enforcement agencies have, in many cases, argued that the biometric tools reduce racial policing. After all, a computer doesn't know the societal meaning of race or gender; it simply sorts and matches photos based on numeric analysis of features and patterns. But research has shown that facial recognition algorithms aren't as impartial as they seem. Depending on the data sets used to train machine learning systems, they can be become far better at identifying people of some races than others. For example, some research indicates that facial recognition systems in the United States have lower accuracy when attempting to identify African Americans. Meanwhile, since law enforcement facial recognition systems often include mug shots and arrest rates among African Americans are higher than the general population, algorithms may be disproportionately able to find a match for black suspects.

The FBI declined to specifically comment on the report, but referred to previous statements about its facial recognition program in which the agency said that its use of the technology prioritizes privacy and civil liberties "beyond the requirements of the law." The agency also noted that when an investigator searches a facial recognition database, two separate human reviewers check potential matches the system returns before identifying any individual to an investigator, and only about 12 percent of searches result in a positive identification. It's not clear if any such safeguards apply to state and local-level police using facial recognition systems. ¹

Perhaps the most dystopian aspect of the report is its findings that real-time facial recognition-identifying people in public as they pass a live-feed video camera-is increasing in popularity among police departments. The researchers found that five departments in major cities like Los Angeles and Chicago either already use real-time face recognition, own the technology to do it, or want to buy it. That pervasive surveillance raises similar concerns to image databases, but significantly expands questions about expectation of privacy and the ability for police to perform this new form of surveillance en masse and in secret.

In reaction to the report, a coalition of more than 40 civil rights and civil liberties groups, including the American Civil Liberties Union and the Leadership Conference for Civil and Human Rights launched an initiative on Tuesday asking the Department of Justice's Civil Rights Division to evaluate current use of facial recognition technology around the country. With facial recognition, "Police are free to identify and potentially track anyone even if they have no evidence that that person has done anything wrong," says Neema Singh Guliani, the legislative counsel for the ACLU. "We don't expect that the police can identify us when we are walking into a mosque, attending an AA meeting, or when we're seeking help at a domestic violence shelter."

For about half of American adults, it's too late to keep their faces out of law enforcements' biometric surveillance system. Now privacy advocates' best hope is to limit how that collection of faces can be used-and abused.
¹ Updated 10/18/2016 6pm EST to include a response from the FBI.

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Cops have a database of 117M faces. You're probably in it

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It's no secret that American law has been building facial recognition databases to aide in its investigations. But a new, comprehensive report on the status of facial recognition as a tool in law enforcement shows the sheer scope and reach of the FBI's database of faces and those of state-level law enforcement agencies: Roughly half of American adults are included in those collections.

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Ultra-lifelike figure shows potential future of virtual reality

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Ultra-lifelike figure shows potential future of virtual reality

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Although it looks like a real woman, the ultra-lifelike figure in this music video is actually a digital model created using high-resolution 3D scans.

London-based multimedia studios Marshmallow Laser Feast and Analog teamed up to create the video, called Memex, which is currently on show as part of the Istanbul Design Biennial 2016.

The project forms part of a wider exploration by the designers into filmmaking techniques that could be used in virtual reality environments.

It shows light travelling across the naked, 77-year-old body of actor and model Beryl Nesbit, whose skin appears to transform into dust. The designers describe the project as a "3D study of mortality".

"We wanted to go beyond the limits of the audience's eyeballs, using 3D to reveal different perspectives on the human form," explained Marshmallow Laser Feast.

The team worked with digital studio FBFX to create the digital scans, using a 94-camera rig. They then combined this with a "magical moment", when they were able to capture a spherical panoramic photo of sunset filtering through a window.

To make the film as lifelike as possible, Analog used a number of digital effects to subtly animate Beryl's body. They built eyes and tear ducts, and also added fine hairs to the body.

They also had to make alternative versions of the body covered in ash.

"Creating the subtleties of believable human skin and rebuilding the soulful eyes that sought connection with the viewer was a challenging but rewarding process that went through many iterations of development," added Analog.

Props were added to complete the film, ranging from dried flowers and rotting fruit, to billowing sheets of fabric.

The film was first created in 2014 to accompany a music track by London band Duologue.

It is on show at the Galata Greek School as part of the third Istanbul Design Biennial, which opens to the public tomorrow, along with a full-size 3D print of Beryl's head.

Dezeen are media partners for this year's event. Curated by Beatriz Colomina and Mark Wigley under the theme Are We Human?, it is an exploration into the relationship between design and humans.

In an exclusive interview with Dezeen, the pair described the exhibition as an attack on good design. "It is a call to rethink what design is in our time," said Colomina.

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Ultra-lifelike figure shows potential future of virtual reality

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Although it looks like a real woman, the ultra-lifelike figure in this music video is actually a digital model created using high-resolution 3D scans. London-based multimedia studios Marshmallow Laser Feast and Analog teamed up to create the video, called Memex, which is currently on show as part of the Istanbul Design Biennial 2016.

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DEATH IS ONLY THE BEGINNING - VIRTUAL AWAKENING

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DEATH IS ONLY THE BEGINNING - VIRTUAL AWAKENING

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This is not real lifeInstagram vs. Offline-Welten - was passiert dazwischen?

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This is not real lifeInstagram vs. Offline-Welten - was passiert dazwischen?

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DigitalWerk Online Agency - Crafting Strategies

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DigitalWerk - Crafting Strategies. We create and implement custom-made strategies from scratch to perfection.

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Hear Christopher Walken’s Wonderful Reading of Edgar Allan Poe’s “The Raven” (on the Anniversary of Poe’s Death)

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Hear Christopher Walken’s Wonderful Reading of Edgar Allan Poe’s “The Raven” (on the Anniversary of Poe’s Death)

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Christopher Walken, writes Arifa Akbar in the Independent, is a "sinister-looking man who has made a living from looking - and acting - sinister," but he didn't start out that way. His "career trajectory - starting benignly enough in children's commercials, musicals, and dance - took a darker turn two years after his near-miss with Star Wars," when he'd almost landed the Han Solo role that went to Harrison Ford. Instead he played "the emotionally decimated Vietnam veteran in Michael Cimino's The Deer Hunter, and was immortalized in the 'Russian roulette' scene as a gaunt, bug-eyed madman aiming a shaking revolver to his own head. The role won him an Oscar and led to assembly-line casting in an array of deranged, demonic parts."

Of course, when an actor becomes synonymous with a grim but artful intensity, he must sooner or later interpret the work of a writer synonymous with grim but artful intensity: Edgar Allan Poe. And so on this day, the 167th anniversary of Poe's death under still-unexplained circumstances, we give you Walken's performance of "The Raven."

The 1845 poem stands today as Poe's best-known work by far, as he seemed to intend: he wrote it, so he later claimed in a magazine essay, with "the intention of composing a poem that should suit at once the popular and the critical taste" and pack an emotional punch as well.

Walken, for his part, has variously appealed to both popular and critical tastes in the roughly 130 roles he has played over his sixty-year career, somehow earning both respect as a serious dramatic actor and almost instinctive audience laughter as a figure of fun. At his best, Walken's darkness contains a lightness and his lightness a darkness, all of which you can hear in his nine-minute recitation, accompanied by music and sound effects, of the words of this nameless man tormented by a talking bird while pining for his lost love Lenore. If anybody can credibly stare into the abyss Poe's work opens up, Christopher Walken can - after all, he knows what it means not to fear the reaper.
Related Content: The Great Stan Lee Reads Edgar Allan Poe's "The Raven" Christopher Lee Reads Edgar Allan Poe's "The Raven," and From "The Fall of the House of Usher" James Earl Jones Reads Edgar Allan Poe's "The Raven" and Walt Whitman's "Song of Myself" Lou Reed Rewrites Edgar Allan Poe's "The Raven." See Readings by Reed and Willem Dafoe John Astin, From The Addams Family, Recites "The Raven" as Edgar Allan Poe The Simpsons Present Edgar Allan Poe's "The Raven," and Teachers Now Use It to Teach Kids the Joys of Literature Hear the 14-Hour "Essential Edgar Allan Poe" Playlist: "The Raven," "The Tell-Tale Heart" & Much More
Based in Seoul, Colin Marshall writes and broadcasts on cities and culture. He's at work on a book about Los Angeles, A Los Angeles Primer, the video series The City in Cinema, the crowdfunded journalism project Where Is the City of the Future?, and the Los Angeles Review of Books' . Follow him on Twitter at @colinmarshall or on .

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Hear Christopher Walken's Wonderful Reading of Edgar Allan Poe's "The Raven"

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Christopher Walken, writes Arifa Akbar in the Independent , is a "sinister-looking man who has made a living from looking - and acting - sinister," but he didn't start out that way.

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A short film about making up your mind.

Director/Editor- Andrew Norton
Director of Photography - Scott Pommier
Producer - Veronica Simmonds
Production Assistance - Nick Genova
Additional Interviews - Alex Kapelman

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ARTE : chaîne télé culturelle franco-allemande - TV direct & replay

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Emissions TV, direct, vidéos en replay, webdocumentaires, ARTE Journal... Accédez aux programmes de la chaîne culturelle européenne sur arte.tv.

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Who wants to live forever? Eternime preserves your most important thoughts, stories and memories for eternity.

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Who wants to live forever? Eternime preserves your most important thoughts, stories and memories for eternity.

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4K VR - 5 Tips about 4K VR Video and Download Guide

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4K VR - 5 Tips about 4K VR Video and Download Guide

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4K VR - 5 Tips about 4K VR Video and Download Guide

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This post is about everything about 4K VR you shall know. Plus, recommended tool to download and compress 360-degree vr video with 4k resolution for offline playing is shared as the workaround to 4k vr streaming and producing problems.

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Download GoProVR Player (free): Play 360-degree videos and images offline easily.

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EPS Mapping PROJEKTGRUPPE Modell 360 Grad 24 10 2016 / WS 2016

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EPS Mapping PROJEKTGRUPPE Modell 360 Grad 24 10 2016 / WS 2016

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EPS Mapping PROJEKTGRUPPE Modell 360 Grad 24 10 2016 / WS 2016