Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2013.197
DC FieldValue
dc.titleCalibrating photometric stereo by holistic reflectance symmetry analysis
dc.contributor.authorWu, Z.
dc.contributor.authorTan, P.
dc.date.accessioned2014-06-19T03:01:54Z
dc.date.available2014-06-19T03:01:54Z
dc.date.issued2013
dc.identifier.citationWu, 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
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69545
dc.description.abstractUnder 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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2013.197
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CVPR.2013.197
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.page1498-1505
dc.description.codenPIVRE
dc.identifier.isiut000331094301071
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