Improved illumination-invariant descriptors for robust colour object recognition

RJ O'Callaghan, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)
242 Downloads (Pure)

Abstract

Colour object recognition is heavily influenced by the variation in the scene illumination conditions. This paper proposes a set of illumination-invariant descriptors of image content. The descriptors are based on a moment-based approach to histogram comparison and, in the case of an object imaged under two different lighting conditions, permit a straightforward recovery of the illumination change involved. The efficacy of the descriptors is compared experimentally with a variety of existing techniques, using an established methodology and an existing purpose-built dataset. The evidence suggests that the new descriptors outperform existing techniques in the area of colour object recognition.
Translated title of the contributionImproved illumination-invariant descriptors for robust colour object recognition
Original languageEnglish
Title of host publication2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesIV-3393 - IV-3396
Number of pages4
VolumeIV
ISBN (Print)0780374029
DOIs
Publication statusPublished - May 2002
Event2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, Florida, United States
Duration: 13 May 200217 May 2002

Publication series

Name
ISSN (Print)15206149

Conference

Conference2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP '02
CountryUnited States
CityOrlando, Florida
Period13/05/0217/05/02

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: This work was sponsored by EPSRC grant GR/M84183 under the Link project Autoarch.

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