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Robust photometric stereo using structural light sources

[+] Author Affiliations
Tian-Qi Han

Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou 310027, China

Yue Cheng

Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou 310027, China

Hui-Liang Shen

Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou 310027, China

Xin Du

Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou 310027, China

J. Electron. Imaging. 23(3), 033004 (May 13, 2014). doi:10.1117/1.JEI.23.3.033004
History: Received October 29, 2013; Revised April 8, 2014; Accepted April 11, 2014
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Abstract.  We propose a robust photometric stereo method by using structural arrangement of light sources. In the arrangement, light sources are positioned on a planar grid and form a set of collinear combinations. The shadow pixels are detected by adaptive thresholding. The specular highlight and diffuse pixels are distinguished according to their intensity deviations of the collinear combinations, thanks to the special arrangement of light sources. The highlight detection problem is cast as a pattern classification problem and is solved using support vector machine classifiers. Considering the possible misclassification of highlight pixels, the 1 regularization is further employed in normal map estimation. Experimental results on both synthetic and real-world scenes verify that the proposed method can robustly recover the surface normal maps in the case of heavy specular reflection and outperforms the state-of-the-art techniques.

© 2014 SPIE and IS&T

Citation

Tian-Qi Han ; Yue Cheng ; Hui-Liang Shen and Xin Du
"Robust photometric stereo using structural light sources", J. Electron. Imaging. 23(3), 033004 (May 13, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.3.033004


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