Specular-free residual minimization for photometric stereo with unknown light sources

Tsuyoshi Migita, Kazuhiro Sogawa, Takeshi Shakunaga

研究成果

抄録

We address a photometric stereo problem that has unknown lighting conditions. To estimate the shape, reflection properties, and lighting conditions, we employ a nonlinear minimization that searches for parameters that can synthesize images that best fit the input images. A similar approach has been reported previously, but it suffers from slow convergence due to specular reflection parameters. In this paper, we introduce specular-free residual minimization that avoids the negative effects of specular reflection components by projecting the residual onto the complementary space of the light color. The minimization process simultaneously searches for the optimal light color and other parameters. We demonstrate the effectiveness of the proposed method using several real and synthetic image sets.

本文言語English
ホスト出版物のタイトルAdvances in Image and Video Technology - 5th Pacific Rim Symposium, PSIVT 2011, Proceedings
ページ178-189
ページ数12
PART1
DOI
出版ステータスPublished - 2011
イベント5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011 - Gwangju
継続期間: 11月 20 201111月 23 2011

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART1
7087 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other5th Pacific-Rim Symposium on Video and Image Technology, PSIVT 2011
国/地域Korea, Republic of
CityGwangju
Period11/20/1111/23/11

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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