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3D shape recovery from two-color image sequences using a genetic algorithm

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2 Author(s)
Ying-li Tian ; Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Tsui, H.T.

We propose a new method to recover the 3D shape and surface reflectance of objects by color image analysis. We introduce a new lighting system with an extended light source moving in a plane which contains the optical axis of the camera. An image sequence is acquired with each image taken at a different light source position. A dichromatic reflection model is assumed The diffuse and specular reflection components are separated by a pseudoinverse technique. A fast generic algorithm is then used for the shape and reflectance recovery from the disuse reflection component extracted from a pair of color image sequences. As a result, the normal of a surface patch nor in the light source moving plane can also be estimated robustly. Our method is verified by both real and simulated experiments

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996