3D Animation Compression Using Affine Transformation Matrix and Principal Component Analysis(Computer Graphics)
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概要
- 論文の詳細を見る
This paper investigates the use of the affine transformation matrix when employing principal component analysis (PCA) to compress the data of 3D animation models. Satisfactory results were achieved for the common 3D models by using PCA because it can simplify several related variables to a few independent main factors, in addition to making the animation identical to the original by using linear combinations. The selection of the principal component factor (also known as the base) is still a subject for further research. Selecting a large number of bases could improve the precision of the animation and reduce distortion for a large data volume. Hence, a formula is required for base selection. This study develops an automatic PCA selection method, which includes the selection of suitable bases and a PCA separately on the three axes to select the number of suitable bases for each axis. PCA is more suitable for animation models for apparent stationary movement. If the original animation model is integrated with transformation movements such as translation, rotation, and scaling (RTS), the resulting animation model will have a greater distortion in the case of the same base vector with regard to apparent stationary movement. This paper is the first to extract the model movement characteristics using the affine transformation matrix and then to compress 3D animation using PCA. The affine transformation matrix can record the changes in the geometric transformation by using 4×4 matrices. The transformed model can eliminate the influences of geometric transformations with the animation model normalized to a limited space. Subsequently, by using PCA, the most suitable base vector (variance) can be selected more precisely.
- 社団法人電子情報通信学会の論文
- 2007-07-01
著者
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Kao Chi-kang
Dept. Of Electronic Engineering Chung Yuan Christian University
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Lin Tsong-wuu
Dept. Of Computer And Information Science Soochow University
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LEE Pai-Feng
Dept. of Electronic Engineering, Chung Yuan Christian University
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TSENG Juin-Ling
Chin Min Institute of Technology
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JONG Bin-Shyan
Dept. of Information and Computer Engineering, Chung Yuan Christian University
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Jong Bin-shyan
Dept. Of Information And Computer Engineering Chung Yuan Christian University
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Lee Pai-feng
Dept. Of Electronic Engineering Chung Yuan Christian University
関連論文
- 3D Animation Compression Using Affine Transformation Matrix and Principal Component Analysis(Computer Graphics)
- Improved Edge-Based Compression for the Connectivity of 3D Models(Computer Graphics)
- Compression of Dynamic 3D Meshes and Progressive Displaying