Optimal reconstruction of approximate planar surfaces using photometric stereo

Toni Kuparinen*, Ville Kyrki

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

Abstract

Photometric stereo can be used to obtain a fast and noncontact surface reconstruction of Lambertian surfaces. Despite several published works concerning the uncertainties and optimal light configurations of photometric stereo, no solutions for optimal surface reconstruction from noisy real images have been proposed. In this paper, optimal surface reconstruction methods for approximate planar textured surfaces using photometric stereo are derived, given that the statistics of imaging errors are measurable. Simulated and real surfaces are experimentally studied, and the results validate that the proposed approaches improve the surface reconstruction especially for the high-frequency height variations.

Original languageEnglish
Pages (from-to)2282-2289
Number of pages8
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume31
Issue number12
DOIs
Publication statusPublished - 2009
MoE publication typeA1 Journal article-refereed

Keywords

  • Photometric stereo
  • Photometry
  • Roughness
  • Sharpening and deblurring
  • Surface reconstruction
  • Wiener filtering

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