DocumentCode :
382312
Title :
Shape-from-shading using viewpoint-invariant principal curvatures
Author :
Ragheb, Hossein ; Hancock, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ., UK
Volume :
2
fYear :
2002
fDate :
2002
Abstract :
We use the viewpoint compensation method of Woodham (1994) to make improved estimates of the Hessian matrix from the Gauss map in shape-from-shading. We use the improved estimates to perform curvature sensitive surface-smoothing. Rather than directly smoothing the surface normal vectors, we exert control over their directions by smoothing the field of principal curvature directions. To do this we develop a topography sensitive smoothing process which overcomes the problems of singularities in the field of principal directions at the locations of umbilics and saddles.
Keywords :
Hessian matrices; image processing; smoothing methods; Gauss map; Hessian matrix estimates; curvature sensitive surface-smoothing; image irradiance equation; principal curvature direction; saddles; shape-from-shading; surface normal vectors; topography sensitive smoothing process; umbilics; viewpoint compensation method; viewpoint-invariant principal curvatures; Computer science; Equations; Error analysis; Gaussian processes; Kernel; Reflectivity; Robustness; Smoothing methods; Surface reconstruction; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7622-6
Type :
conf
DOI :
10.1109/ICIP.2002.1040016
Filename :
1040016
Link To Document :
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