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Conference Papers Year : 2010

Iterative Search with Local Visual Features for Computer Assisted Plant Identification

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Wajih Ouertani
  • Function : Author
  • PersonId : 931839
Michel Crucianu
Nozha Boujemaa
  • Function : Author
  • PersonId : 929185

Abstract

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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Dates and versions

hal-03780241 , version 1 (19-09-2022)

Identifiers

  • HAL Id : hal-03780241 , version 1

Cite

Wajih Ouertani, Pierre Bonnet, Michel Crucianu, Nozha Boujemaa, Daniel Barthélémy. Iterative Search with Local Visual Features for Computer Assisted Plant Identification. Tools for identifying biodiversity : progress and problems : proceedings of the international congress, Muséum national d'histoire naturelle (Paris), Sep 2010, Paris, France. pp.237-242. ⟨hal-03780241⟩
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