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Consensus multi-view photometric stereo

: Beljan, Mate


Pinz, Axel (Ed.):
Pattern recognition. Joint 34th DAGM and 36th OAGM symposium 2012 : Graz, Austria, August 28 - 31, 2012; proceedings
Berlin: Springer, 2012 (Lecture Notes in Computer Science 7476)
ISBN: 978-3-642-32716-2
ISBN: 3-642-32716-8
ISBN: 978-3-642-32717-9
ISSN: 0302-9743
German Association for Pattern Recognition (DAGM Symposium) <34, 2012, Graz>
Austrian Association for Pattern Recognition (OAGM Symposium) <36, 2012, Graz>
Fraunhofer IGD ()
3D reconstruction; surface reconstruction; photometry; Forschungsgruppe Capturing Reality (CARE)

We propose a multi-view photometric stereo technique that uses photometric normal consistency to jointly estimate surface position and orientation. The underlying scene representation is based on oriented points, yielding more flexibility compared to smoothly varying surfaces. We demonstrate that the often employed least squares error of the Lambertian image formation model fails for wide-baseline settings without known visibility information. We then introduce a multi-view normal consistency approach and demonstrate its efficiency on synthetic and real data. In particular, our approach is able to handle occlusion, shadows, and other sources of outliers.