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

TitleA solution to illumination direction estimation of a shaded image: Genetic algorithm
Authors
KeywordsFast marching method
Genetic algorithm
Illumination direction estimation
Shape from shading
Issue Date2010
Citation
Image and Vision Computing, 2010, v. 28 n. 12, p. 1717-1730 How to Cite?
AbstractIn 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.
Persistent Identifierhttp://hdl.handle.net/10722/196717
ISSN
2021 Impact Factor: 3.860
2020 SCImago Journal Rankings: 0.570
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChow, CK-
dc.contributor.authorYuen, SY-
dc.date.accessioned2014-04-24T02:10:36Z-
dc.date.available2014-04-24T02:10:36Z-
dc.date.issued2010-
dc.identifier.citationImage and Vision Computing, 2010, v. 28 n. 12, p. 1717-1730-
dc.identifier.issn0262-8856-
dc.identifier.urihttp://hdl.handle.net/10722/196717-
dc.description.abstractIn 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.-
dc.languageeng-
dc.relation.ispartofImage and Vision Computing-
dc.subjectFast marching method-
dc.subjectGenetic algorithm-
dc.subjectIllumination direction estimation-
dc.subjectShape from shading-
dc.titleA solution to illumination direction estimation of a shaded image: Genetic algorithm-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.imavis.2010.06.001-
dc.identifier.scopuseid_2-s2.0-77956339213-
dc.identifier.volume28-
dc.identifier.issue12-
dc.identifier.spage1717-
dc.identifier.epage1730-
dc.identifier.isiWOS:000282407300012-
dc.identifier.issnl0262-8856-

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