Please use this identifier to cite or link to this item:
|Title:||Self-calibrating photometric stereo||Authors:||Shi, B.
|Issue Date:||2010||Citation:||Shi, 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||Abstract:||We 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.||Source Title:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/71735||ISBN:||9781424469840||ISSN:||10636919||DOI:||10.1109/CVPR.2010.5540091|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.