Keypoint Signatures for Fast Learning and Recognition

Statistical learning techniques have been used to dramatically speed-up keypoint matching by training a classifier to recognize a specific set of keypoints. However, the training itself is usually relatively slow and performed offline. Although methods have recently been proposed to train the classifier online, they can only learn a very limited number of new keypoints. This represents a handicap for real-time applications, such as Simultaneous Localization and Mapping (SLAM), which require incremental addition of arbitrary numbers of keypoints as they become visible.


Publié dans:
Computer Vision - Eccv 2008, Pt I, Proceedings, 5302, 58-71
Présenté à:
European Conference on Computer Vision , Marseille, FRANCE, Oct 12-18, 2008
Année
2008
Publisher:
Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa
Mots-clefs:
Laboratoires:




 Notice créée le 2010-11-30, modifiée le 2019-03-16

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