NDLI: Mesh segmentation for parallel decompression on GPU

Content Provider	ACM Digital Library
Author	Tang, Min Tong, Ruofeng Zhao, Jieyi
Abstract	We present a novel algorithm to partition large 3D meshes for GPU-based decompression. Our formulation focuses on minimizing the replicated vertices between patches, and balancing the numbers of faces of patches for efficient parallel computing. First we generate a topology model of the original mesh and remove vertex positions. Then we assign the centers of patches using geodesic farthest point sampling and cluster the faces according to geodesic distance. After the segmentation we swap boundary faces to fix jagged boundaries and store the boundary vertices for whole-mesh preservation. The decompression of each patch runs on a thread of GPU, we have evaluated its performance on various large benchmarks. In practice, the GPU-based decompression algorithm runs more than 48X faster with that on the CPU.
Starting Page	83
Ending Page	90
Page Count	8
ISBN	9783642342622
ISSN	03029743
DOI	10.1007/978-3-642-34263-9_11
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-08
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Edgebreaker Parallel decompression Connectivity compression Gpu Mesh segmentation
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computer Science

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Mesh segmentation for parallel decompression on GPU