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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 identification
biodiversity informatics
local features
local query
object localization
relevance feedback
Issue Date: 2010
Publisher: EUT Edizioni Università di Trieste
Citation: 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.
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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