DocumentCode
398636
Title
An efficient coding algorithm for color and normal data of three-dimensional mesh models
Author
Ahn, Jeong Hwan ; Kim, Chang Su ; Yo-SungHo
Author_Institution
Samsung Adv. Inst. of Technol., Suwon, South Korea
Volume
1
fYear
2003
fDate
14-17 Sept. 2003
Abstract
Three-dimensional (3D) mesh models have attribute data, such as colors, normal vectors, and texture coordinates to render or shade the surface of the mesh. Although several coding schemes have been developed to represent the topology and geometry information of the 3D mesh, coding of the attribute data has received less attention. In this paper, we propose a new predictive coding scheme for colors and normal vectors of the 3D mesh model, where we predict colors and normals based on several ancestors along the vertex ordering. In order to encode the color information, we define a mapping table that specifies how colors are mapped into other vertices. The mapping table can represent frequently occurring color patterns efficiently. For normal vectors, we also propose an average predictor and the 6-4 subdivision quantizer in the spherical coordinate system. The proposed scheme has demonstrated good coding efficiency for various VRML test data.
Keywords
image coding; image colour analysis; linear predictive coding; virtual reality languages; VRML test data; coding algorithm; coding efficiency; coding scheme; color data; color information encoding; color pattern; geometry information; mapping table; mesh model; mesh surface; mesh vector; predictive coding scheme; predictor; quantizer; Bandwidth; Bit rate; Data visualization; Geometry; Humidity; Predictive models; Solid modeling; Surface texture; Testing; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1247080
Filename
1247080
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