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
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