DocumentCode
1867125
Title
Compressing large polygonal models
Author
Ho, Jeffrey ; Kuang-Chih Lee ; Kriegman, David
Author_Institution
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
fYear
2001
fDate
21-26 Oct. 2001
Firstpage
357
Lastpage
573
Abstract
Presents an algorithm that uses partitioning and gluing to compress large triangular meshes which are too complex to fit in main memory. The algorithm is based largely on the existing mesh compression algorithms, most of which require an ´in-core´ representation of the input mesh. Our solution is to partition the mesh into smaller submeshes and compress these submeshes separately using existing mesh compression techniques. Since a direct partition of the input mesh is out of question, instead we partition a simplified mesh and use the partition on the simplified model to obtain a partition on the original model. In order to recover the full connectivity, we present a simple scheme for encoding/decoding the resulting boundary structure from the mesh partition. When compressing large models with few singular vertices, a negligible portion of the compressed output is devoted to gluing information. On desktop computers, we have run experiments on models with millions of vertices, which could not be compressed using standard compression software packages, and have observed compression ratios as high as 17 to 1 using our technique.
Keywords
computational geometry; data compression; mesh generation; rendering (computer graphics); boundary structure decoding; boundary structure encoding; compression ratios; connectivity; desktop computers; gluing; large polygonal model compression; large triangular meshes; mesh compression algorithms; partitioning; simplified mesh; singular vertices; submeshes; Chromium; Compression algorithms; Computer graphics; Decoding; Encoding; Geometry; Partitioning algorithms; Software packages; Software standards; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization, 2001. VIS '01. Proceedings
Conference_Location
San Diego, CA, USA
Print_ISBN
0-7803-7201-8
Type
conf
DOI
10.1109/VISUAL.2001.964532
Filename
964532
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