Advanced shape context for plant species identification using leaf image retrieval

Sofiène Mouine (1) , Itheri Yahiaoui (2, 1) , Anne Verroust-Blondet (1)

1 IMEDIA2 - Images et multimédia : indexation, navigation et recherche
2 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804

This paper presents a novel method for leaf species identification combining local and shape-based features. Our approach extends the shape context model in two ways. First of all, two different sets of points are distinguished when computing the shape contexts: the voting set, i.e. the points used to describe the coarse arrangement of the shape and the computing set containing the points where the shape contexts are computed. This representation is enriched by introducing local features computed in the neighborhood of the computing points. Experiments show the effectiveness of our approach.

Mots clés: Image retrieval; plant species identification; shape context

Domaines: Recherche d'information [cs.IR]

Sofiène Mouine, Itheri Yahiaoui, Anne Verroust-Blondet. Advanced shape context for plant species identification using leaf image retrieval. ICMR '12 - 2nd ACM International Conference on Multimedia Retrieval, Jun 2012, Hong Kong, China. ⟨10.1145/2324796.2324853⟩. ⟨hal-00726785⟩