Shape and surface measurement technology by an improved shape-from-shading neural algorithm
作者： Sin-Yeung Cho , T.W.S. Chow
DOI: 10.1109/41.824148
关键词:
摘要: A new approach for measuring the shape and surface of an object observed from a single camera is proposed. The proposed based on using neural networks as parametric representation three-dimensional shape-from-shading problem formulated minimization intensity error function with respect to network weights. Experimental results demonstrate that authors' methodology exhibits high efficiency accuracy inspecting product's in manufacturing industry.
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