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Uncalibrated photometric stereo for unknown isotropic reflectances

  • Feng Lu
  • , Yasuyuki Matsushita
  • , Imari Sato
  • , Takahiro Okabe
  • , Yoichi Sato
  • The University of Tokyo
  • Microsoft USA
  • National Institute of Informatics

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances. Our method uses a pixel intensity profile, which is a sequence of radiance intensities recorded at a pixel across multi-illuminance images. We show that for general isotropic materials, the geodesic distance between intensity profiles is linearly related to the angular difference of their surface normals, and that the intensity distribution of an intensity profile conveys information about the reflectance properties, when the intensity profile is obtained under uniformly distributed directional lightings. Based on these observations, we show that surface normals can be estimated up to a convex/concave ambiguity. A solution method based on matrix decomposition with missing data is developed for a reliable estimation. Quantitative and qualitative evaluations of our method are performed using both synthetic and real-world scenes.

Original languageEnglish
Article number6619040
Pages (from-to)1490-1497
Number of pages8
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOIs
StatePublished - 2013
Externally publishedYes
Event26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013 - Portland, OR, United States
Duration: 23 Jun 201328 Jun 2013

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