Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
529486 | Image and Vision Computing | 2008 | 15 Pages |
Abstract
3D dynamic meshes are associated with voluminous data and need to be encoded for efficient storage and transmission. We study the impact of vertex clustering on registration-based dynamic mesh coding, where compact mesh motion representation is achieved by computing correspondences for the mesh segments from the temporal reference to obtain high compression performance. Clustering algorithms segment the mesh into smaller pieces and the compression performance is directly related to how effectively these pieces can describe the mesh motion. In this paper, we demonstrate that the use of efficient vertex clustering schemes in the compression framework can bring about a 10% improvement in compression performance.
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Computer Vision and Pattern Recognition
Authors
Subramanian Ramanathan, Ashraf A. Kassim, Tiow-Seng Tan,