Accéder directement au contenu Accéder directement à la navigation
Communication dans un congrès

Revisiting SIFT for plant foliage in RGB images acquired on a turntable

Abstract : In this work, SIFT features are revisited for their use in two applications of computer vision for plantanalysis. The first application is the reconstruction of 3D models of plants through tracking homologuepoints in successive intensity images. The second application is to provide a new global descriptor thatgives a measure of the level of self-similariy of foliage for plants of different architectures and foliarappearance. In order to properly exploit SIFT descriptors in relation to these applications, we discuss twoaspects of the classical SIFT keypoint matching practice. On the one hand we propose to match detectedkeypoints based on a scale criterion. On the other hand, we drop the ratio rule while matching keypointsin two images and propose the use of a spatial proximity filter instead.
Type de document :
Communication dans un congrès
Liste complète des métadonnées
Contributeur : Marie-Françoise Gerard Connectez-vous pour contacter le contributeur
Soumis le : jeudi 2 avril 2020 - 15:45:17
Dernière modification le : vendredi 19 novembre 2021 - 14:46:13


  • HAL Id : hal-02529851, version 1



Helin Dutagaci, Etienne Belin, David Rousseau. Revisiting SIFT for plant foliage in RGB images acquired on a turntable. 7th International Workshop on Image Analysis Methods for the Plant Sciences, Jul 2019, Lyon, France. ⟨hal-02529851⟩



Consultations de la notice