Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5107
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dc.contributor.authorPetry,MRen
dc.contributor.authorAntónio Paulo Moreiraen
dc.contributor.authorLuís Paulo Reisen
dc.date.accessioned2017-12-28T12:35:35Z-
dc.date.available2017-12-28T12:35:35Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5107-
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-40669-0_23en
dc.description.abstractMost of the original image feature detectors are not able to cope with large photometric variations, and their extensions that should improve detection eventually increase the computational cost and introduce more noise to the system. Here we extend the original SURF algorithm increasing its invariance to illumination changes. Our approach uses the local space average color descriptor as working space to detect invariant features. A theoretical analysis demonstrates the impact of distinct photometric variations on the response of blob-like features detected with the SURF algorithm. Experimental results demonstrate the effectiveness of the approach in several illumination conditions including the presence of two or more distinct light sources, variations in color, in offset and scale.en
dc.languageengen
dc.relation5157en
dc.relation5741en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleIncreasing Illumination Invariance of SURF Feature Detector through Color Constancyen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:CRIIS - Other Publications

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