Shape From Shading by Using Neural Based Colour Reflectance Model
Neural Processing Letters
3D reconstruction and face recognition using kernel-based ICA and neural networks
Expert Systems with Applications: An International Journal
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For the shape from shading problem, it is known that most real images usually contain specular components and are affected by unknown reflectivity. In the paper, these limitations are addressed and a neural-based specular reflectance model is proposed. The idea of this method is to optimize a proper specular model by learning the parameters of a radial basis function network and to recover the object shape by the variational approach with this resulting model. The obtained results are very encouraging and the performance is demonstrated by using the synthetic and real images in the case of different specular effects and noisy environments.