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|Title:||Calibrating photometric stereo by holistic reflectance symmetry analysis|
|Citation:||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|
|Appears in Collections:||Staff Publications|
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