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Conference Paper: Object color constancy for outdoor multiple light sources

TitleObject color constancy for outdoor multiple light sources
Authors
KeywordsIllumination invariant
Object color constancy
Object detection
Outdoor multiple light sources
Issue Date2015
PublisherSpringer
Citation
1st Chinese Conference on Computer Vision (CCCV 2015), Xi'an, China, 18-20 September 2015. In Zha, H, Chen, X, Wang, L, et al. (Eds.), Computer Vision: CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II, p. 369-378. Heidelberg: Springer, 2015 How to Cite?
AbstractColor is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is not always true due to the presence of multiple light sources. In this paper, without these assumptions, we deal with the problem of color constancy in multiple light sources by computing the color constancy on a given object rather than the whole image. It keeps the color constancy for a given object under different outdoor lighting conditions, especially for an object under different shadows. We first calculate a transfer vector based on the given object and the illuminants ratio vector. This vector is then added to the original image to make the object be perpendicular to the illuminants ratio vector. Finally, an object color constant image is obtained by performing an orthogonal decomposition along the illuminants ratio vector on the new image. Compared with color constancy on whole image, this proposed method can reduce color distortion in the object and keep mostly color constancy for an object to be recognized and tracked regardless of lighting conditions. Both quantitative and qualitative experiments validate our method.
Persistent Identifierhttp://hdl.handle.net/10722/325305
ISBN
ISSN
2023 SCImago Journal Rankings: 0.203
ISI Accession Number ID
Series/Report no.Communications in Computer and Information Science ; 547

 

DC FieldValueLanguage
dc.contributor.authorQu, Liangqiong-
dc.contributor.authorDuan, Zhigang-
dc.contributor.authorTian, Jiandong-
dc.contributor.authorHan, Zhi-
dc.contributor.authorTang, Yandong-
dc.date.accessioned2023-02-27T07:31:24Z-
dc.date.available2023-02-27T07:31:24Z-
dc.date.issued2015-
dc.identifier.citation1st Chinese Conference on Computer Vision (CCCV 2015), Xi'an, China, 18-20 September 2015. In Zha, H, Chen, X, Wang, L, et al. (Eds.), Computer Vision: CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II, p. 369-378. Heidelberg: Springer, 2015-
dc.identifier.isbn9783662485699-
dc.identifier.issn1865-0929-
dc.identifier.urihttp://hdl.handle.net/10722/325305-
dc.description.abstractColor is one of the mostly applied features for object recognition and tracking. Most work for color constancy is often based on the assumption of spatial uniformity or smooth illuminant transaction, which is not always true due to the presence of multiple light sources. In this paper, without these assumptions, we deal with the problem of color constancy in multiple light sources by computing the color constancy on a given object rather than the whole image. It keeps the color constancy for a given object under different outdoor lighting conditions, especially for an object under different shadows. We first calculate a transfer vector based on the given object and the illuminants ratio vector. This vector is then added to the original image to make the object be perpendicular to the illuminants ratio vector. Finally, an object color constant image is obtained by performing an orthogonal decomposition along the illuminants ratio vector on the new image. Compared with color constancy on whole image, this proposed method can reduce color distortion in the object and keep mostly color constancy for an object to be recognized and tracked regardless of lighting conditions. Both quantitative and qualitative experiments validate our method.-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofCommunications in Computer and Information Science-
dc.relation.ispartofseriesCommunications in Computer and Information Science ; 547-
dc.subjectIllumination invariant-
dc.subjectObject color constancy-
dc.subjectObject detection-
dc.subjectOutdoor multiple light sources-
dc.titleObject color constancy for outdoor multiple light sources-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-662-48570-5_36-
dc.identifier.scopuseid_2-s2.0-84951857354-
dc.identifier.volume547-
dc.identifier.spage369-
dc.identifier.epage378-
dc.identifier.isiWOS:000368371300036-
dc.publisher.placeHeidelberg-

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