Randomized Methods for Image Classification

This talk presents randomized methods including randomized trees, forests and ferns and their application in image classification. [ppt] Presented by Feng Tang on 5/1/08. Main paper: Bosch, A. Zisserman, A. Muoz, X."Image Classification using Random Forests and Ferns" CVPR 2007 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4409066 Some background papers: V. Lepetit and P. Fua. Keypoint recognition using randomized trees. IEEE PAMI, V. Lepetit and P. Fua. Keypoint recognition using randomized trees. IEEE PAMI, 2006. cvlab.epfl.ch/publications/publications/2006/LepetitF06.pdf M. Ozuysal, P. Fua, and V. Lepetit. Fast keypoint recognition in ten lines of code. CVPR, 2007. cvlab.epfl.ch/~lepetit/papers/ozuysal-cvpr07.pdf S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. CVPR, 2006. www-cvr.ai.uiuc.edu/ponce_grp/publication/paper/cvpr06b.pdf