Features

We extract features from images for many different applications such as alignment or recognition.

Relevant papers

  • T. Hassner, S. Filosof, V. Mayzels and L. Zelnik-Manor, SIFTing through Scales , IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 39(7), July 2017. (pdf, Project page)
  • T. Hassner, V. Mayzels and L. Zelnik-Manor, Dense, Scale-Less Descriptors , Book chapter in Dense Image Correspondences for Computer Vision, Springer International Publishing, 2016. (pdf, Project page)
  • A. Gilinsky and L. Zelnik-Manor, SIFTpack: A Compact Representation for Efficient SIFT Matching, Book chapter in Dense Image Correspondences for Computer Vision, Springer International Publishing, 2016. (pdf, Project page)
  • R. Margolin, L. Zelnik-Manor, and A. Tal, OTC: A Novel Local Descriptor for Scene Classification, ECCV’2014 (pdf, Project page)
  • A. Gilinsky and L. Zelnik-Manor, SIFTpack: A Compact Representation for Efficient SIFT Matching, ICCV’2013. (pdf, Project page)
  • T. Hassner, V. Mayzels and L. Zelnik-Manor, On SIFTs and their Scales , CVPR’2012. (pdf, Project page)
  • I. Friedman and L. Zelnik-Manor, Dancing Icons Detection, The Second IEEE International Workshop on Mobile Vision, 2011. (pdf)
Premium Wordpress Themes by UFO Themes