Learning shape from shading by a multilayer network

作者: Guo-Qin Wei , G. Hirzinger

DOI: 10.1109/72.508940

关键词: Parametric statisticsAlgorithmError functionPhotometric stereoNormalConjugate gradient methodReal imageMathematical optimizationMathematicsGradient methodArtificial neural network

摘要: The multilayer feedforward network has often been used for learning a nonlinear mapping based on a set of examples of the input-output data. In this paper, we present a novel use of …

参考文章(30)
D. H. Norrie, Gerard de Vries, An introduction to finite element analysis ,(1978)
Berthold K. P. Horn, Obtaining shape from shading information Shape from shading. pp. 123- 171 ,(1989)
Berthold K. P. Horn, Michael J. Brooks, Shape and source from shading international joint conference on artificial intelligence. pp. 932- 936 ,(1985)
Wei, Guo-Quing Hirzinger, Gerh., Learning Shape from Shading by Neural Networks ,(1994)
Ken-Ichi Funahashi, On the approximate realization of continuous mappings by neural networks Neural Networks. ,vol. 2, pp. 183- 192 ,(1989) , 10.1016/0893-6080(89)90003-8
Chia-Hoang Lee, Azriel Rosenfeld, Improved methods of estimating shape from shading using the light source coordinate system Artificial Intelligence. ,vol. 26, pp. 125- 143 ,(1985) , 10.1016/0004-3702(85)90026-8
Tomaso Poggio, Vincent Torre, Christof Koch, Computational vision and regularization theory Nature. ,vol. 317, pp. 314- 319 ,(1985) , 10.1038/317314A0
Berthold K. P. Horn, Height and gradient from shading International Journal of Computer Vision. ,vol. 5, pp. 37- 75 ,(1990) , 10.1007/BF00056771
Katsushi Ikeuchi, Berthold K. P. Horn, Numerical shape from shading and occluding boundaries Shape from shading. pp. 245- 299 ,(1989)