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

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