# data[].attributes.headline
Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants

# data[].attributes.subject
Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants

# data[].attributes.headline
Model Synthesis: A General Procedural Modeling Algorithm

# data[].attributes.subject
Model Synthesis: A General Procedural Modeling Algorithm

# data[].attributes.attachment_link.title
Model Synthesis: A General Procedural Modeling Algorithm

# data[].attributes.attachment_link.description
We present a method for procedurally modeling general complex 3D shapes. Our approach can automatically generate complex models of buildings, man-made structures, or urban data sets in a few minutes based on user-defined inputs. The algorithm attempts to generate complex 3D models that resemble a user-defined input model and satisfy various dimensional, geometric, and algebraic constraints to control the shape.

# data[].attributes.headline
Generating time lines with virtual words for time-varying data visualization

# data[].attributes.subject
Generating time lines with virtual words for time-varying data visualization

# data[].attributes.headline
Big Data Analysis with Interactive Visualization using R packages

# data[].attributes.subject
Big Data Analysis with Interactive Visualization using R packages

# data[].attributes.attachment_link.title
Big Data Analysis with Interactive Visualization using R

# data[].attributes.headline
Modeling trees with a space colonization algorithm

# data[].attributes.subject
Modeling trees with a space colonization algorithm

# data[].attributes.headline
Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform

# data[].attributes.subject
Real-Time Visualization Optimization Management Simulation of Big Data Stream on Industrial Heritage Cloud Platform

# data[].attributes.headline
Studying Visualization Guidelines According to Grounded Theory

# data[].attributes.subject
Studying Visualization Guidelines According to Grounded Theory

# data[].attributes.body
keywords: visualization theory, guidelines, grounded theory

# data[].attributes.headline
SocialOcean: Visual Analysis and Characterization of Social Media Bubbles

# data[].attributes.subject
SocialOcean: Visual Analysis and Characterization of Social Media Bubbles

# data[].attributes.body
social media, visual analytics, echo chambers

# data[].attributes.headline
LOCALIS: Locally‐adaptive Line Simplification for GPU‐based Geographic Vector Data Visualization

# data[].attributes.subject
LOCALIS: Locally‐adaptive Line Simplification for GPU‐based Geographic Vector Data Visualization

# data[].attributes.body
geovisualization, optimization, gpu

# data[].attributes.headline
Visual analysis of spatio‐temporal data: Applications in weather forecasting

# data[].attributes.subject
Visual analysis of spatio‐temporal data: Applications in weather forecasting

# data[].attributes.body
visual analytics, weather forecasting

# data[].attributes.headline
Big Data Visualization: Tools and Challenges

# data[].attributes.subject
Big Data Visualization: Tools and Challenges

# data[].attributes.attachment_link.title
Big Data Visualization Tools and Challenges

# data[].attributes.headline
A real-time shadow approach for an Augmented Reality application using shadow volumes.

# data[].attributes.subject
A real-time shadow approach for an Augmented Reality application using shadow volumes.

# data[].attributes.attachment_link.readable_text
Shadows add a level of realism to a rendered image. Moreover, they are used as visual clues to determine spacial relationships and real-time shadows will gain importance in current real-time computer graphics applications for this reason. Twenty-five years ago, Crow published the shadow volume approach for determining shadowed regions of a scene. In this paper we present a modified real-time shadow volume algorithm that can be used in an Augmented/Mixed Reality application. Finally, the proposed concepts provide a novel sense of visual output of an AR application.

# data[].attributes.attachment_link.title
A real-time shadow approach for an augmented reality application using shadow volumes

# data[].attributes.attachment_link.description
Shadows add a level of realism to a rendered image. Moreover, they are used as visual clues to determine spacial relationships and real-time shadows will gain importance in current real-time computer graphics applications for this reason. Twenty-five years ago, Crow published the shadow volume approach for determining shadowed regions of a scene.

# data[].attributes.headline
Real-time Soft Shadows in Dynamic Scenes using Spherical Harmonic Exponentiation.

# data[].attributes.subject
Real-time Soft Shadows in Dynamic Scenes using Spherical Harmonic Exponentiation.

# data[].attributes.attachment_link.readable_text
Previous methods for soft shadows numerically integrate over many light directions at each receiver point, testing blocker visibility in each direction. We introduce a method for real-time soft shadows in dynamic scenes illuminated by large, low-frequency light sources where such integration is impractical. Our method operates on vectors representing low-frequency visibility of blockers in the spherical harmonic basis. Blocking geometry is modeled as a set of spheres; relatively few spheres capture the low-frequency blocking effect of complicated geometry. At each receiver point, we compute the product of visibility vectors for these blocker spheres as seen from the point. Instead of computing an expensive SH product per blocker as in previous work, we perform inexpensive vector sums to accumulate the log of blocker visibility. SH exponentiation then yields the product visibility vector over all blockers. We show how the SH exponentiation required can be approximated accurately and efficiently for low-order SH, accelerating previous CPU-based methods by a factor of 10 or more, depending on blocker complexity, and allowing real-time GPU implementation.

Index Terms

Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation

# data[].attributes.attachment_link.title
Real-time soft shadows in dynamic scenes using spherical harmonic exponentiation

# data[].attributes.attachment_link.description
Previous methods for soft shadows numerically integrate over many light directions at each receiver point, testing blocker visibility in each direction. We introduce a method for real-time soft shadows in dynamic scenes illuminated by large, low-frequency light sources where such integration is impractical.

# data[].attributes.headline
Real-Time, All-Frequency Shadows in Dynamic Scenes.

# data[].attributes.subject
Real-Time, All-Frequency Shadows in Dynamic Scenes.

# data[].attributes.attachment_link.title
Real-time, all-frequency shadows in dynamic scenes

# data[].attributes.attachment_link.description
Shadow computation in dynamic scenes under complex illumination is a challenging problem. Methods based on precomputation provide accurate, real-time solutions, but are hard to extend to dynamic sc...

# data[].attributes.attachment_link.readable_text
In this paper, we present revectorization‐based soft shadow mapping, an algorithm that enables the rendering of visually plausible anti‐aliased soft shadows in real time. In revectorization‐based shadow mapping, shadow silhouettes are anti‐aliased and filtered on the basis of a discontinuity space. By replacing the filtering step of the theoretical framework of the percentage‐closer soft shadow algorithm by a revectorization‐based filtering algorithm, we are able to provide anti‐aliasing mainly for near contact shadows or small penumbra sizes generated from low‐resolution shadow maps. Moreover, we present a screen‐space variant of our technique that generates visually plausible soft shadows with an overhead of only in processing time, when compared to the fastest soft shadow algorithms proposed in the literature, but that introduces shadow overestimation artefacts in the final rendering.

# data[].attributes.attachment_link.description
In this paper, we present revectorization‐based soft shadow mapping, an algorithm that enables the rendering of visually plausible anti‐aliased soft shadows in real time. In revectorization‐based shadow mapping, shadow silhouettes are anti‐aliased and filtered on the basis of a discontinuity space.

# data[].attributes.headline
Real-time 3D Reconstruction at Scale using Voxel Hashing

# data[].attributes.subject
Real-time 3D Reconstruction at Scale using Voxel Hashing

# data[].attributes.attachment_link.title
Real-time 3D reconstruction at scale using voxel hashing

# data[].attributes.attachment_link.description
Online 3D reconstruction is gaining newfound interest due to the availability of real-time consumer depth cameras. The basic problem takes live overlapping depth maps as input and incrementally fus...

# data[].attributes.headline
Full 3D Reconstruction of Transparent Objects

# data[].attributes.subject
Full 3D Reconstruction of Transparent Objects

# data[].attributes.attachment_link.title
Full 3D reconstruction of transparent objects

# data[].attributes.attachment_link.description
Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This paper presents a f...

# data[].attributes.headline
A Volumetric Method for Building Complex Models from Range Images

# data[].attributes.subject
A Volumetric Method for Building Complex Models from Range Images

# data[].attributes.attachment_link.title
A volumetric method for building complex models from range images

# data[].attributes.attachment_link.description
SIGGRAPH '96: Proceedings of the 23rd annual conference on Computer graphics and interactive techniques Pages 303-312 https://doi.org/10.1145/237170.237269

# data[].attributes.headline
Reconstruction and Representation of 3D Objects with Radial Basis Functions

# data[].attributes.subject
Reconstruction and Representation of 3D Objects with Radial Basis Functions

# data[].attributes.attachment_link.readable_text
We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs allow us to model large data sets, consisting of millions of surface points, by a single RBF - previously an impossible task. A greedy algorithm in the fitting process reduces the number of RBF centers required to represent a surface and results in significant compression and further computational advantages. The energy-minimisation characterisation of polyharmonic splines result in a "smoothest" interpolant. This scale-independent characterisation is well-suited to reconstructing surfaces from non-uniformly sampled data. Holes are smoothly filled and surfaces smoothly extrapolated. We use a non-interpolating approximation when the data is noisy. The functional representation is in effect a solid model, which means that gradients and surface normals can be determined analytically. This helps generate uniform meshes and we show that the RBF representation has advantages for mesh simplification and remeshing applications. Results are presented for real-world rangefinder data.

Index Terms

Reconstruction and representation of 3D objects with radial basis functions

# data[].attributes.attachment_link.title
Reconstruction and representation of 3D objects with radial basis functions

# data[].attributes.attachment_link.description
We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data.

# data[].attributes.headline
Efficient screen-space rendering of vector features on virtual terrains

# data[].attributes.subject
Efficient screen-space rendering of vector features on virtual terrains

# data[].attributes.attachment_link.title
Frasson2018_Efficient Screen-Space Rendering of Vector Features on Virtual

# data[].attributes.headline
Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany.

# data[].attributes.subject
Generating web-based 3D City Models from OpenStreetMap: The current situation in Germany.

# data[].attributes.attachment_link.title
Over2010_Generating web-based 3D City Models from OpenStreetMap The current situation in Germany

# data[].attributes.headline
HiVision: Rapid visualization of large-scale spatial vector data.

# data[].attributes.subject
HiVision: Rapid visualization of large-scale spatial vector data.

# data[].attributes.attachment_link.title
MA2021_HiVision Rapid visualization of large-scale spatial vector data

# data[].attributes.attachment_link.title
Mahdavi-Amiri2015_A Survey of Digital Earth

# data[].attributes.headline
Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems

# data[].attributes.subject
Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems

# data[].attributes.headline
Interactive Example-Based Terrain Authoring with Conditional Generative Adversarial Networks

# data[].attributes.subject
Interactive Example-Based Terrain Authoring with Conditional Generative Adversarial Networks

# data[].attributes.headline
Breaking the Tracking: Enabling Weight Perception using Perceivable Tracking Offsets

# data[].attributes.subject
Breaking the Tracking: Enabling Weight Perception using Perceivable Tracking Offsets

# data[].attributes.headline
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality 

# data[].attributes.subject
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality 

# data[].attributes.headline
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes

# data[].attributes.subject
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes

# data[].attributes.headline
H+O: Unified egocentric recognition of 3d hand-object poses and interactions

# data[].attributes.subject
H+O: Unified egocentric recognition of 3d hand-object poses and interactions

# data[].attributes.headline
Visual Exploration of Big Spatio-Temporal Urban Data:A Study of New York City Taxi Trips

# data[].attributes.subject
Visual Exploration of Big Spatio-Temporal Urban Data:A Study of New York City Taxi Trips

# data[].attributes.attachment_link.title
Visual Exploration of Big Spatio-Temporal Urban Data

# data[].attributes.headline
Visual Methods for AnalyzingTime-Oriented Data

# data[].attributes.subject
Visual Methods for AnalyzingTime-Oriented Data

# data[].attributes.attachment_link.title
lVisual Methods for AnalyzingTime-Oriented Data

# data[].attributes.headline
The Effects of Interactive Latency on Exploratory Visual Analysis

# data[].attributes.subject
The Effects of Interactive Latency on Exploratory Visual Analysis

# data[].attributes.attachment_link.title
The Effects of Interactive Latency on Exploratory Visual Analysis