DocumentCode
3357186
Title
Patch-based compression for Time-Varying Meshes
Author
Yamasaki, Toshihiko ; Aizawa, Kiyoharu
Author_Institution
Dept. of Inf. & Commun. Eng., Univ. of Tokyo, Tokyo, Japan
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
3433
Lastpage
3436
Abstract
This paper proposes intra-frame and inter-frame coding algorithms for 3D mesh sequences generated by multiple cameras, which we call Time-Varying Meshes (TVMs). For this purpose, mesh segmentation into patches with patch alignment using principal component analysis (PCA) is proposed. The patches are used as minimum units to eliminate spatial and temporal correlation of the TVMs. For intraframe coding of geometry data, spectral compression using the Kirchhoff matrix was employed and that of color texture was conducted using vector quantization (VQ). The inter-frame coding of geometry data and color texture was achieved by the combination of patch-based matching and simple scalar quantization. The intra- and inter-frame coding are compared to the previous works and demonstrated promising results.
Keywords
correlation methods; image coding; image colour analysis; image matching; image segmentation; image texture; mesh generation; principal component analysis; vector quantisation; 3D mesh sequence; Kirchhoff matrix; geometry data; image color; image texture; interframe coding; intraframe coding; mesh segmentation; patch alignment; patch-based compression; patch-based matching; principal component analysis; scalar quantization; spatial correlation; spectral compression; temporal correlation; time-varying meshes; vector quantization; Bit rate; Color; Encoding; Image color analysis; Quantization; Solid modeling; Three dimensional displays; Time-varying mesh; compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5652911
Filename
5652911
Link To Document