New local descriptors based on dissociated dipoles

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New local descriptors based on dissociated dipoles
This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local differential operators proposed by Balas et al. [1] which have been proved to be more stable than purely local standard differential operators. In this paper, we define and compute specific oriented dissociated dipoles around multi-resolution color Harris points and we form 20-dimensional normalized features, invariant to rotation, affine luminance transformations, negative or flip. In a comparison with extensively used SIFT descriptors, we show that such descriptors are more efficient while containing 6 times less information. This allows the complete retrieval to be both more efficient and faster. This strategy ranked first in ImagEval1 benchmark, which, as far as we know, is the only competition including a transformed image recognition task (or content-based copy retrieval task).
Alexis Joly
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where CIVR
Authors Alexis Joly
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