DocumentCode :
2758920
Title :
Incorporating illumination constraints in deformable models
Author :
Samaras, Dimitrios ; Metaxas, Dimitris
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
fYear :
1998
fDate :
23-25 Jun 1998
Firstpage :
322
Lastpage :
329
Abstract :
We present a method for the integration of illumination constraints within a deformable model framework. These constraints are incorporated as nonlinear holonomic constraints in the Lagrange equations of motion governing the deformation of the model. For improved numerical performance we employ the Baumgarte stabilization method. Our methodology is general and can be used for a broad range of illumination constraints. This approach avoids commonly used approximations in shape from shading, such as linearization, and the use of partial differential equations, which require initial boundary conditions. Furthermore, global and local parameterizations of the deformable models allow an improved estimation of shape from shading. We demonstrate this improvement over previously used approaches through a series of experiments on standardized sets of real and synthetic data
Keywords :
computer vision; motion estimation; partial differential equations; stability; Baumgarte stabilization method; Lagrange equations; deformable models; illumination constraints; initial boundary conditions; linearization; nonlinear holonomic constraints; numerical performance; partial differential equations; shape from shading; Boundary conditions; Computational modeling; Computer vision; Deformable models; Equations; Information analysis; Lagrangian functions; Lighting; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location :
Santa Barbara, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-8497-6
Type :
conf
DOI :
10.1109/CVPR.1998.698626
Filename :
698626
Link To Document :
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