Browsing EG 2016 - Short Papers by Subject "I.3.7 [Computer Graphics]"
Now showing items 1-7 of 7
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Example-based Body Model Optimization and Skinning
(The Eurographics Association, 2016)In this paper, we present an example-based framework for the generation of a realistic kinematic 3D human body model that optimizes shape, pose and skinning parameters. For enhanced realism, the skinning is realized as a ... -
Garment Transfer for Quadruped Characters
(The Eurographics Association, 2016)Modeling clothing to characters is one of the most time-consuming tasks for artists in 3DCG animation production. Transferring existing clothing models is a simple and powerful solution to reduce labor. In this paper, we ... -
A Generic Physically-based Approach to the Opening Design Problem
(The Eurographics Association, 2016)Today architectural design harnesses photorealistic rendering to accurately assess energy transport for the design of energyefficient buildings. In this context, we present an automatic physically-based solution to the ... -
Peripheral Retinal Image Simulation Based on Retina Shapes
(The Eurographics Association, 2016)We present a method to render the image of a scene reaching the retina, the retinal image, taking into account human offaxis optical aberrations. To this end, we consider realistic wide-angle eye models that offer an ... -
Robust Transmission of Motion Capture Data using Interleaved LDPC and Inverse Kinematics
(The Eurographics Association, 2016)Recent advances in smart-sensor technology have improved precision in Motion Capture (MoCap) data for realistic animation. However, precision also imposes challenges on bandwidth. While research efforts have focussed on ... -
Texel Shading
(The Eurographics Association, 2016)We have developed a texture space shading system built on modern graphics hardware. It begins with a conventional rasterization stage, but records texel accesses as shading work rather than running a shade per pixel. Shading ... -
Two-Level Adaptive Sampling for Illumination Integrals using Bayesian Monte Carlo
(The Eurographics Association, 2016)Bayesian Monte Carlo (BMC) is a promising integration technique which considerably broadens the theoretical tools that can be used to maximize and exploit the information produced by sampling, while keeping the fundamental ...