Title :
Eigen-Texture method: appearance compression and synthesis based on a 3D model
Author :
Nishino, Ko ; Sato, Yoichi ; Ikeuchi, Katsushi
Author_Institution :
Dept. of Inf. Sci., Tokyo Univ., Japan
fDate :
11/1/2001 12:00:00 AM
Abstract :
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. However, both methods still have several drawbacks when we attempt to apply them to mixed reality where we integrate virtual images with real background images. To overcome these difficulties, we propose a new method, which we refer to as the Eigen-Texture method. The proposed method samples appearances of a real object under various illumination and viewing conditions, and compresses them in the 2D coordinate system defined on the 3D model surface generated from a sequence of range images. The Eigen-Texture method is an example of a view-dependent texturing approach which combines the advantages of image-based and model-based approaches. No reflectance analysis of the object surface is needed, while an accurate 3D geometric model facilitates integration with other scenes. The paper describes the method and reports on its implementation
Keywords :
data compression; eigenvalues and eigenfunctions; image sampling; image texture; principal component analysis; rendering (computer graphics); 2D coordinate system; 3D model surface; Eigen-Texture method; accurate 3D geometric model; appearance compression; appearance synthesis; illumination; image synthesis; mixed reality; model-based approaches; principle component analysis; range images; real background images; real object; rendering methods; view-dependent texturing approach; viewing conditions; virtual images; Image analysis; Image coding; Layout; Reflectivity; Rendering (computer graphics); Rough surfaces; Solid modeling; Surface roughness; Surface texture; Virtual reality;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on