DocumentCode :
2237783
Title :
A differential method for computing local shape-from-texture for planar and curved surfaces
Author :
Malik, Jitendra ; Rosenholtz, Ruth
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
267
Lastpage :
273
Abstract :
Shape from texture is best analyzed in a two-stage framework: computing the texture gradient from the image, and interpreting the texture gradient to infer the distance and shape of the scene surface in 3-D. The texture distortion is modeled at a point in any particular direction on the image plane as an affine transformation. The parameters of the affine transform are related to the viewer. A technique is developed for estimating affine transforms between nearby image patches. It is based on solving a system of linear constraints derived from a differential analysis. Given the estimated affine transforms in a number of directions, it is possible to recover local shape and orientation of the surface. It is not necessary to explicitly identify texels or make restrictive assumptions about the nature of the image texture. Experimental results are presented on images of planar and curved surfaces under perspective projection
Keywords :
image restoration; image texture; parameter estimation; stereo image processing; 3D image; affine transformation; curved surfaces; differential method; image texture; linear constraints; perspective projection; planar surface; scene surface; shape-from-texture; texture gradient; Computer science; Geometry; Image analysis; Image motion analysis; Image texture; Image texture analysis; Layout; Optical computing; Shape; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.340979
Filename :
340979
Link To Document :
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