Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44352
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dc.contributor.authorZhao, Yunfeng-
dc.contributor.authorElliott, Chris-
dc.contributor.authorZhou, Huiyu-
dc.contributor.authorRafferty, Karen-
dc.date.accessioned2019-06-11T11:39:16Z-
dc.date.available2019-06-11T11:39:16Z-
dc.date.issued2019-02-18-
dc.identifier.citation2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018en
dc.identifier.issn2162-7843-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8642637en
dc.identifier.urihttp://hdl.handle.net/2381/44352-
dc.description.abstractAchieving color constancy between and within images, i.e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetric analysis and object recognition. Most current methods attempt to solve this by illumination correction on perceptual color spaces. In this paper, we proposed two pixel-wise algorithms to achieve relative color constancy by working under the spectral domain. That is, the proposed algorithms map each pixel to the reflectance ratio of objects appeared in the scene and perform illumination correction in this spectral domain. Also, we proposed a camera calibration technique that calculates the characteristics of a camera without the need of a standard reference. We show that both of the proposed algorithms achieved the best performance on nonuniform illumination correction and relative illumination matching respectively compared to the benchmarked algorithms.en
dc.description.sponsorshipThis project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie-Sklodowska-Curie grant agreement No 720325, FoodSmartphone.en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rightsCopyright © 2019, Institute of Electrical and Electronics Engineers (IEEE). Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)en
dc.subjectalgorithmen
dc.subjectcamera calibrationen
dc.subjectcolor constancyen
dc.subjectillumination correctionen
dc.subjectpixel-wiseen
dc.titleSpectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domainen
dc.typeConference Paperen
dc.identifier.doi10.1109/ISSPIT.2018.8642637-
dc.description.statusPeer-revieweden
dc.description.versionPost-printen
dc.date.award2018-12-08-
dc.description.presented2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Louisville, KY, USA, USAen
dc.date.start2018-12-06-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informaticsen
dc.identifier.eisbn978-1-5386-7568-7-
dc.dateaccepted2018-11-01-
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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