Please use this identifier to cite or link to this item:
|Title:||Calibrating photometric stereo by holistic reflectance symmetry analysis||Authors:||Wu, Z.
|Issue Date:||2013||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/69545||ISSN:||10636919||DOI:||10.1109/CVPR.2013.197|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 25, 2021
WEB OF SCIENCETM
checked on Jun 17, 2021
checked on Jun 22, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.