@article{Calonder:160453,
      title = {Keypoint Signatures for Fast Learning and Recognition},
      author = {Calonder, Michael and Lepetit, Vincent and Fua, Pascal},
      publisher = {Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth  Ave, New York, Ny 10010 Usa},
      journal = {Computer Vision - Eccv 2008, Pt I, Proceedings},
      volume = {5302},
      series = {Lecture Notes In Computer Science},
      pages = {58-71},
      year = {2008},
      abstract = {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.},
      url = {http://infoscience.epfl.ch/record/160453},
}