dc.contributor.author | Gu, Lin | |
dc.contributor.author | Robles-Kelly, Antonio A | |
dc.contributor.author | Zhou, Jun | |
dc.date.accessioned | 2017-05-03T16:11:52Z | |
dc.date.available | 2017-05-03T16:11:52Z | |
dc.date.issued | 2013 | |
dc.date.modified | 2014-06-11T03:12:56Z | |
dc.identifier.issn | 1057-7149 | |
dc.identifier.doi | 10.1109/TIP.2013.2268970 | |
dc.identifier.uri | http://hdl.handle.net/10072/56555 | |
dc.description.abstract | In this paper, we address the problem of efficiently recovering reflectance parameters from a single multispectral or hyperspectral image. To do so, we propose a shapelet based estimator that employs shapelets to recover the shading in the image. The optimization setting presented is based upon a three-step process. The first of these concerns the recovery of the surface reflectance and the specular coefficients through a constrained optimization approach. Second, we update the illuminant power spectrum using a simple least-squares formulation. Third, the shading is computed directly once the updated illuminant power spectrum is obtained. This yields a computationally efficient method that achieves speed-ups of nearly an order of magnitude over its closest alternative without compromising performance. We provide results on illuminant power spectrum computation, shading recovery, skin recognition and replacement of the scene illuminant, and object reflectance in real-world images. | |
dc.description.peerreviewed | Yes | |
dc.description.publicationstatus | Yes | |
dc.format.extent | 10778661 bytes | |
dc.format.mimetype | application/pdf | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.publisher.place | United States | |
dc.relation.ispartofstudentpublication | Y | |
dc.relation.ispartofpagefrom | 3648 | |
dc.relation.ispartofpageto | 3663 | |
dc.relation.ispartofissue | 9 | |
dc.relation.ispartofjournal | IEEE Transactions on Image Processing | |
dc.relation.ispartofvolume | 22 | |
dc.rights.retention | Y | |
dc.subject.fieldofresearch | Computer vision | |
dc.subject.fieldofresearch | Cognitive and computational psychology | |
dc.subject.fieldofresearchcode | 460304 | |
dc.subject.fieldofresearchcode | 5204 | |
dc.title | Efficient Estimation of Reflectance Parameters from Imaging Spectroscopy | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.rights.copyright | © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
gro.date.issued | 2013 | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Zhou, Jun | |