Please use this identifier to cite or link to this item: http://hdl.handle.net/10077/3783
Title: Iterative Search with Local Visual Features for Computer Assisted Plant Identification
Authors: Ouertani, Wajih
Bonnet, Pierre
Crucianu, Michel
Boujemaa, Nozha
Barthélémy, Daniel
Keywords: assisted identificationbiodiversity informaticslocal featureslocal queryobject localizationrelevance feedback
Issue Date: 2010
Publisher: EUT Edizioni Università di Trieste
Source: Wajih Ouertani [et al.], Iterative Search with Local Visual Features for Computer Assisted Plant Identification, in Pier Luigi Nimis and Régine Vignes Lebbe (eds.): “Tools for Identifying Biodiversity: Progress and Problems. Proceedings of the International Congress, Paris, September 20-22, 2010”, Trieste, EUT Edizioni Università di Trieste, 2010, pp. 237-242.
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.
Type: Book Chapter
URI: http://hdl.handle.net/10077/3783
ISBN: 978-88-8303-295-0
Appears in Collections:Tools for Identifying Biodiversity: Progress and Problems

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