Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2013.197
Title: Calibrating photometric stereo by holistic reflectance symmetry analysis
Authors: Wu, Z.
Tan, P. 
Issue Date: 2013
Source: Wu, Z., Tan, P. (2013). Calibrating photometric stereo by holistic reflectance symmetry analysis. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 1498-1505. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2013.197
Abstract: Under unknown directional lighting, the uncalibrated Lambertian photometric stereo algorithm recovers the shape of a smooth surface up to the generalized bas-relief (GBR) ambiguity. We resolve this ambiguity from the half vector symmetry, which is observed in many isotropic materials. Under this symmetry, a 2D BRDF slice with low-rank structure can be obtained from an image, if the surface normals and light directions are correctly recovered. In general, this structure is destroyed by the GBR ambiguity. As a result, we can resolve the ambiguity by restoring this structure. We develop a simple algorithm of auto-calibration from separable homogeneous specular reflection of real images. Compared with previous methods, this method takes a holistic approach to exploiting reflectance symmetry and produces superior results. © 2013 IEEE.
Source Title: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/69545
ISSN: 10636919
DOI: 10.1109/CVPR.2013.197
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