|Title of host publication||2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02)|
|Publisher or commissioning body||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||IV-3393 - IV-3396|
|Number of pages||4|
|State||Published - May 2002|
|Conference||2002 IEEE International Conference on Acoustics, Speech, and Signal Processing|
|Abbreviated title||ICASSP '02|
|Period||13/05/02 → 17/05/02|
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.
Rose publication type: Conference contribution
Sponsorship: This work was sponsored by EPSRC grant GR/M84183 under the Link project Autoarch.
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2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
|Abbreviated Title||ICASSP '02|
|Duration||13 May 2002 → 17 May 2002|