Shape and surface measurement technology by an improved shape-from-shadingneural algorithm

A new approach for measuring the shape and surface of an object observed fr om a single camera is proposed. The proposed approach is based on using the neural networks as a parameteric representation of the three-dimensional o bject and the shape-from-shading problem is formulated as the minimization of an intensity error function with respect to the network weights. Experim ental results demonstrate that our proposed methodology exhibits high effic iency and accuracy for measuring and inspecting the product's surface in th e manufacturing industry.