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.
