CUED Publications database

Overcoming Shadows in 3-Source Photometric Stereo

Hernandez, C and Vogiatzis, G and Cipolla, R (2010) Overcoming Shadows in 3-Source Photometric Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33. pp. 419-426. ISSN 0272-1732

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Light occlusions are one of the most siunificant difficulties of photometric stereo methods. When three or more images are available without occlusion, the local surface orientation is overdetermined so shape can be computed and the shadowed pixels can be discarded. in this paper we look at the challenging case when only two images are available without occlusion, leading to a 1 degree of freedom ambiguity per pixel in the local orientation. We show that, in the presence of noise, integrability alone cannot resolve this ambiguity and reconstruct the geometry in the shadowed regions. As the problem is ill-posed in the presence of noise, we describe two regularization schemes that improve the numerical performance of the algorithm while preserving the data. Finally the paper describes how this theory applies in the framework of color photometric stereo where one is restricted to only three images and light occlusions are common. Experiments on synthetic and real image sequences are presented. © 2010 IEEE.

Item Type: Article
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:42
Last Modified: 18 Feb 2021 14:34
DOI: 10.1109/TPAMI.2010.181