Please use this identifier to cite or link to this item: https://doi.org/10.1109/CVPR.2010.5540091
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dc.titleSelf-calibrating photometric stereo
dc.contributor.authorShi, B.
dc.contributor.authorMatsushita, Y.
dc.contributor.authorWei, Y.
dc.contributor.authorXu, C.
dc.contributor.authorTan, P.
dc.date.accessioned2014-06-19T03:27:12Z
dc.date.available2014-06-19T03:27:12Z
dc.date.issued2010
dc.identifier.citationShi, B., Matsushita, Y., Wei, Y., Xu, C., Tan, P. (2010). Self-calibrating photometric stereo. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition : 1118-1125. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPR.2010.5540091
dc.identifier.isbn9781424469840
dc.identifier.issn10636919
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71735
dc.description.abstractWe present a self-calibrating photometric stereo method. From a set of images taken from a fixed viewpoint under different and unknown lighting conditions, our method automatically determines a radiometric response function and resolves the generalized bas-relief ambiguity for estimating accurate surface normals and albedos. We show that color and intensity profiles, which are obtained from registered pixels across images, serve as effective cues for addressing these two calibration problems. As a result, we develop a complete auto-calibration method for photometric stereo. The proposed method is useful in many practical scenarios where calibrations are difficult. Experimental results validate the accuracy of the proposed method using various real-world scenes. ©2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CVPR.2010.5540091
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CVPR.2010.5540091
dc.description.sourcetitleProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.description.page1118-1125
dc.description.codenPIVRE
dc.identifier.isiut000287417501021
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