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 contribution | Improved illumination-invariant descriptors for robust colour object recognition |
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Original language | English |
Title of host publication | 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | IV-3393 - IV-3396 |
Number of pages | 4 |
Volume | IV |
ISBN (Print) | 0780374029 |
DOIs | |
Publication status | Published - May 2002 |
Event | 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, Florida, United States Duration: 13 May 2002 → 17 May 2002 |
Publication series
Name | |
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ISSN (Print) | 15206149 |
Conference
Conference | 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Abbreviated title | ICASSP '02 |
Country/Territory | United States |
City | Orlando, Florida |
Period | 13/05/02 → 17/05/02 |
Bibliographical note
Rose publication type: Conference contributionSponsorship: This work was sponsored by EPSRC grant GR/M84183 under the Link project Autoarch.
Terms of use: Copyright © 2002 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002 (ICASSP '02).
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