Numerical 3-D Shape Inference from Image Brightness

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概要

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• For the purpose of 3-dimensional (3-D) shape inference from image brightness, it is necessary to establish the direction of light. In this paper, we propose an iterative algorithm for estimating the direction of light from the brightness and the surface normal on the occluding boundary. From the numerical results, it is found that the algorithm yields a reasonable solution in a small number of iterations. Furthermore, we consider the convergence of the 3-D shape inference algorithm, and show that the smaller the difference between the viewing direction and the direction of light, the faster the algorithm converges.

• 一般社団法人日本機械学会の論文
• 1993-12-15

著者

• Shioyama Tadayoshi

  Department Of Mechanical And System Engineering Kyoto Institute Of Technology

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