Automatic selection of level-of-detail based on just-noticeable-difference (JND)
SIGGRAPH '05 ACM SIGGRAPH 2005 Posters
Perceptually optimized 3D transmission over wireless networks
SIGGRAPH '05 ACM SIGGRAPH 2005 Web program
Robust and scalable transmission of arbitrary 3D models over wireless networks
Journal on Image and Video Processing - 3D Image and Video Processing
Shape tracking and registration for 4d visualization of MRI and structure
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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Efficient online visualization of three-dimensional (3-D) textured models is essential for a variety of applications including not only games and e-commerce, but also heritage and medicine. To visualize 3-D objects online, it is necessary to quickly adapt both mesh and texture to the available computational or network resources. Earlier research showed that after reaching a minimum required mesh density, high-resolution texture has more impact on human perception than a denser mesh. Given limited bandwidth, an important issue is how to extract features that best represent the original object, and how to allocate resources between mesh and texture data to achieve optimal perceptual quality. In this paper, we propose a textured mesh (TexMesh) model, which applies scale-space analysis and perceptual evaluation to extract 3-D features for textured mesh simplification and transmission. Texture data is divided into fragments to facilitate quality and bandwidth adaptation. Texture quality assignment is based on feature point distribution. Online transmission is based on statistics gathered during preprocessing, which are stored in a priority queue and lookup tables. Quality of service requested by a client site can be met by applying an efficient adaptive algorithm to ensure optimal use of the specified time and available bandwidth, and at the same time preserving satisfactory quality. Our TexMesh framework integrates feature extraction, mesh simplification, texture reduction, bandwidth adaptation, and perceptual evaluation into a multiscale visualization framework.