NDLI: Efficient deformable geometry image-maps

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Efficient deformable geometry image-maps

Content Provider	ACM Digital Library
Author	Sun, Hanqiu Sheng, Bin
Abstract	Multiresolution rendering of deformable models, performing fast rendering of global deformations while preserving local surface details, is usually a computation-costly and time-consuming process, because two non-trivial operators are involved. We propose a novel GPU-based adaptive rendering of deforming mesh sequence on sole-cube maps (SCM), which is a variant of geometry images built upon spherical parameterizations. We also introduce the differential coordinates to bound the local resampling error for supporting details preservation and view-dependent visualization. By precomputing the adaptive SCM texture atlas of deforming mesh sequences as well as their differential coordinates, we can map both the deformation and the level-of-details (LOD) operator to the GPU. The proposed algorithm enables us to reconstruct the deformed positions and sufficiently fine-scale approximations of deforming mesh sequences for efficient GPU processing. The GPU-friendly data structure and process allow us to render dynamically deforming 3D models with GPU parallelization, also our system improves the efficiency of the manipulations of node selection and boundary stitching, significantly alleviating the computing load on CPU.
Starting Page	93
Ending Page	94
Page Count	2
File Format	PDF
ISBN	9781450304412
DOI	10.1145/1889863.1889881
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-11-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Deformable models Sole-cube maps Multiresolution rendering Gpu
Content Type	Text
Resource Type	Article

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