A solution to illumination direction estimation of a shaded image: Genetic algorithm

Chi Kin Chow, Shiu Yin Yuen

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

Abstract

In oblique shape from shading (SfS), the illumination direction is essential for recovering the 3D surface of a shaded image. On the other hand, fast marching methods (FMM) are SfS algorithms that use the mechanism of wave propagation to reconstruct the surface. In this paper, the estimation of illumination direction is addressed and we model it as an optimization problem. The idea is to minimize the inconsistency of wave propagation of FMM during the reconstruction. As the consistency of wave propagation is a multi-modal function of illumination direction, genetic algorithm (GA) is utilized. The proposed algorithm is examined on four synthetic models and a real world object. The experimental results show that the proposed algorithm is superior to benchmark methods. © 2010 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)1717-1730
JournalImage and Vision Computing
Volume28
Issue number12
DOIs
Publication statusPublished - Dec 2010

Research Keywords

  • Fast marching method
  • Genetic algorithm
  • Illumination direction estimation
  • Shape from shading

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