Illumination color from the blurred inter-reflection of a reference nose

Mohamed Abdellatif, Yutaka Tanaka, Akio Gofuku, Isaku Nagai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a novel technique to estimate illumination color in a scene. The key principle is that the blurred inter-reflection of a camera-mounted " nose" represents the illumination color directly under weak scene assumptions. The nose surface profile is designed to reflect a blurred scene version into a small image area. The nose image is then spatially mapped to the scene image to correct its colors. Experiments showed that a nose surface represents illumination color robustly and as effective as a scene white patch with the merit of detecting smooth spatial changes of illumination color. The color constancy performance on real images is presented and compared with the retinex method [1].

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages208-215
Number of pages8
Volume1351
ISBN (Print)3540639306, 9783540639305
DOIs
Publication statusPublished - 1997
Event3rd Asian Conference on Computer Vision, ACCV 1998 - Hong Kong, China
Duration: Jan 8 1998Jan 10 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1351
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd Asian Conference on Computer Vision, ACCV 1998
CountryChina
CityHong Kong
Period1/8/981/10/98

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Abdellatif, M., Tanaka, Y., Gofuku, A., & Nagai, I. (1997). Illumination color from the blurred inter-reflection of a reference nose. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1351, pp. 208-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1351). Springer Verlag. https://doi.org/10.1007/3-540-63930-6_123