File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.imavis.2010.06.001
- Scopus: eid_2-s2.0-77956339213
- WOS: WOS:000282407300012
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: A solution to illumination direction estimation of a shaded image: Genetic algorithm
Title | A solution to illumination direction estimation of a shaded image: Genetic algorithm |
---|---|
Authors | |
Keywords | Fast marching method Genetic algorithm Illumination direction estimation Shape from shading |
Issue Date | 2010 |
Citation | Image and Vision Computing, 2010, v. 28 n. 12, p. 1717-1730 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/196717 |
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.204 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chow, CK | - |
dc.contributor.author | Yuen, SY | - |
dc.date.accessioned | 2014-04-24T02:10:36Z | - |
dc.date.available | 2014-04-24T02:10:36Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Image and Vision Computing, 2010, v. 28 n. 12, p. 1717-1730 | - |
dc.identifier.issn | 0262-8856 | - |
dc.identifier.uri | http://hdl.handle.net/10722/196717 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.relation.ispartof | Image and Vision Computing | - |
dc.subject | Fast marching method | - |
dc.subject | Genetic algorithm | - |
dc.subject | Illumination direction estimation | - |
dc.subject | Shape from shading | - |
dc.title | A solution to illumination direction estimation of a shaded image: Genetic algorithm | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.imavis.2010.06.001 | - |
dc.identifier.scopus | eid_2-s2.0-77956339213 | - |
dc.identifier.volume | 28 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 1717 | - |
dc.identifier.epage | 1730 | - |
dc.identifier.isi | WOS:000282407300012 | - |
dc.identifier.issnl | 0262-8856 | - |