画像濃度と方向微分からの表面形状のロバスト推定

概要

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A new robust estimation approach to reconstruct the surface shape from ahading images is proposed in this paper. The reflectance property of the object surface parallel beam. The local surface orientations of an object are reconstructed from the image density and its directional derivatives. Because, higher resolution imaging device are necessary for this method, the extensions of an of the algorithm are significant. A robust approach si proposed, the local surface orientations are also estimated by the standerd least squares ethod. Estimation methodwith four image densities and three directional derivatives is recommended. Computer simmlations show the evaluation of errors in apporoximating and quan-tizing process. The effectiveness of this approach is demonstrated in the shape reconstruction simulations for the curved objects.
豊田工業高等専門学校の論文
1993-12-01