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Shape recovery from shading by a new neural-based reflectance model

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2 Author(s)
Siu-Yeung Cho ; Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong ; Chow, T.W.S.

We present a neural-based reflectance model of which the physical parameters of the reflectivity under different lighting conditions are interpreted by the network weights. The idea of our method is to optimize a proper reflectance model by an effective learning algorithm and to recover the object surface by a simple shape from shading recursive algorithm with this resulting model. Experiments, including synthetic and real images, were performed to demonstrate the performance of the proposed method for practical applications

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Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 6 )