Articles

Three-dimensional surface segmentation using multicolored illumination

[+] Author Affiliations
Glenn Healey, Lizhi Wang

University of California at Irvine, Electrical and Computer Engineering Department, Irvine, California?92697

Opt. Eng. 37(5), 1553-1562 (May 01, 1998). doi:10.1117/1.601669
History: Received July 30, 1997; Accepted Nov. 5, 1997
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Abstract

We introduce a method for segmenting surfaces of three-dimensional objects using two images of the object obtained from the same viewpoint under different illumination conditions. The method allows the surface spectral reflectance to vary from point to point and requires only weak conditions on the uncalibrated illumination configuration. The algorithm is based on the local recovery of an illumination change matrix that depends on surface geometry but not on the spectral reflectance of the surface. We show that for typical sensor noise levels, this technique can be used for the reliable detection of surface orientation changes of a few degrees. This approach can be generalized using a calibrated setup to recover a dense set of surface orientation estimates from two images. We present a set of experiments demonstrating the capability of the algorithm for the segmentation of planar surfaces in the presence of spatially varying spectral reflectance. © 1998 Society of Photo-Optical Instrumentation Engineers.

© 1998 Society of Photo-Optical Instrumentation Engineers

Citation

Glenn Healey and Lizhi Wang
"Three-dimensional surface segmentation using multicolored illumination", Opt. Eng. 37(5), 1553-1562 (May 01, 1998). ; http://dx.doi.org/10.1117/1.601669


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