File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Lighting direction estimation in perspective shape from shading by genetic algorithm

TitleLighting direction estimation in perspective shape from shading by genetic algorithm
Authors
Issue Date2007
PublisherIEEE Computer Society. The Journal's website is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4228509
Citation
The 4th Canadian Conference on Computer and Robot Vision (CRV 2007), Montreal, QC., Canada, 28-30 May 2007. In Conference Proceedings, 2007, p. 289-296 How to Cite?
AbstractIn oblique shape from shading (SfS), the lighting (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 lighting 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, genetic algorithm (GA) is utilized to determine the lighting direction. Experimental results on four oblique SfSs with an unknown lighting direction are presented to demonstrate the performance of the proposed algorithm. © 2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/196692
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChow, CK-
dc.contributor.authorYuen, SY-
dc.date.accessioned2014-04-24T02:10:34Z-
dc.date.available2014-04-24T02:10:34Z-
dc.date.issued2007-
dc.identifier.citationThe 4th Canadian Conference on Computer and Robot Vision (CRV 2007), Montreal, QC., Canada, 28-30 May 2007. In Conference Proceedings, 2007, p. 289-296-
dc.identifier.isbn0-7695-2786-8-
dc.identifier.urihttp://hdl.handle.net/10722/196692-
dc.description.abstractIn oblique shape from shading (SfS), the lighting (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 lighting 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, genetic algorithm (GA) is utilized to determine the lighting direction. Experimental results on four oblique SfSs with an unknown lighting direction are presented to demonstrate the performance of the proposed algorithm. © 2007 IEEE.-
dc.languageeng-
dc.publisherIEEE Computer Society. The Journal's website is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4228509-
dc.relation.ispartofCanadian Conference on Computer and Robot Vision, CRV 2007 Proceedings-
dc.rights©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.titleLighting direction estimation in perspective shape from shading by genetic algorithm-
dc.typeConference_Paper-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/CRV.2007.43-
dc.identifier.scopuseid_2-s2.0-34548790767-
dc.identifier.spage289-
dc.identifier.epage296-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 160603 amended-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats