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Iterative Search with Local Visual Features for Computer Assisted Plant Identification
Acte de colloque

Iterative Search with Local Visual Features for Computer Assisted Plant Identification

Wajih Ouertani, Pierre Bonnet, Michel Crucianu, Nozha Boujemaa et Daniel Barthélémy
Tools for identifying biodiversity : progress and problems : proceedings of the international congress, pp.237-242
Tools for identifying biodiversity : progress and problems : proceedings of the international congress (Paris, France, 20/09/2010–22/09/2010)
2010

Résumé

Assisted identification Biodiversity informatics Local features Local query Object localization Relevance feedback
To support computer assisted plant species identification in a realistic, uncontrolled picture-taking condition, we put forward an approach relying on local image features. It combines query by example and relevance feedback to support both the localization of potentially interesting image regions and the classification of these regions as representing or not the target species. We show that this approach is successful, and makes prior segmentation unnecessary.

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