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dc.contributor.authorKhan, Haris Ahmad
dc.contributor.authorThomas, Jean-Baptiste
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2018-02-12T12:31:05Z
dc.date.available2018-02-12T12:31:05Z
dc.date.created2017-05-29T12:20:36Z
dc.date.issued2017
dc.identifier.isbn978-3-319-59128-5
dc.identifier.urihttp://hdl.handle.net/11250/2484106
dc.description.abstractThe spectral reflectance of an object surface provides valuable information about its characteristics. Reflectance reconstruction from multispectral images is based on certain assumptions. One of these assumptions is that the same illumination is used for system calibration and image acquisition. We propose the novel concept of multispectral constancy, achieved through a spectral adaptation transform, which transforms the sensor data acquired under an unknown illumination to a generic illuminant-independent space. The proposed concept and methods are inspired from the field of computational color constancy. Spectral reflectance is then estimated by using a generic linear calibration. Results of reflectance reconstruction using the proposed concept show that it is efficient, but highly sensitive to the accuracy of illuminant estimation.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.relation.ispartofImage Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II
dc.titleMultispectral Constancy Based on Spectral Adaptation Transformnb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber459-470nb_NO
dc.identifier.doi10.1007/978-3-319-59129-2_39
dc.identifier.cristin1472467
dc.description.localcodeThis is a pre-print of an article published in [Scandinavian Conference on Image Analysis]. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-59129-2_39nb_NO
cristin.unitcode194,18,21,70
cristin.unitnameNorwegian Media Technology Lab
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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