Uncalibrated Near-Light Photometric Stereo

Papadhimitri, Thoma; Favaro, Paolo (September 2014). Uncalibrated Near-Light Photometric Stereo. In: Proceedings of the British Machine Vision Conference. BMVA Press

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In this work we solve the uncalibrated photometric stereo problem with lights placed near the scene. We investigate different image formation models and find the one that best fits our observations. Although the devised model is more complex than its far-light counterpart, we show that under a global linear ambiguity the reconstruction is possible up to a rotation and scaling, which can be easily fixed. We also propose a solution for reconstructing the normal map, the albedo, the light positions and the light intensities of a scene given only a sequence of near-light images. This is done in an alternating minimization framework which first estimates both the normals and the albedo, and then the light positions and intensities. We validate our method on real world experiments and show that a near-light model leads to a significant improvement in the surface reconstruction compared to the classic distant illumination case.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Computer Vision Group (CVG)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Papadhimitri, Thoma and Favaro, Paolo

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Publisher:

BMVA Press

Language:

English

Submitter:

Paolo Favaro

Date Deposited:

27 Apr 2015 15:15

Last Modified:

15 Aug 2017 12:41

BORIS DOI:

10.7892/boris.67317

URI:

https://boris.unibe.ch/id/eprint/67317

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