Uncalibrated Near-Light Photometric Stereo

Thoma Papadhimitri and Paolo Favaro

In Proceedings British Machine Vision Conference 2014


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.


Poster Session


Extended Abstract (PDF, 1 page, 1.0M)
Paper (PDF, 12 pages, 2.6M)
Bibtex File


Thoma Papadhimitri, and Paolo Favaro. Uncalibrated Near-Light Photometric Stereo. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.


	title = {Uncalibrated Near-Light Photometric Stereo},
	author = {Papadhimitri, Thoma and Favaro, Paolo},
	year = {2014},
	booktitle = {Proceedings of the British Machine Vision Conference},
	publisher = {BMVA Press},
	editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
	doi = { http://dx.doi.org/10.5244/C.28.128 }