文件列表:

BoVW.fig (15230, 2019-01-03)
BoVW.m (6781, 2019-01-03)
bovw_sift.m (4285, 2019-01-03)
bovw_surf.m (2804, 2019-01-03)
crossvalidation_.m (890, 2019-01-03)
license.txt (1482, 2019-01-03)

Bag of Visual Words: Matlab (GUI) implementation for Bag of Visual words. This implementation is based on Matlab functions and Vlfeat lib. Number of visual words=200, to change it: from line 87 in bovw_sift.m from line 76 in bovw_surf.m Download the VLFeat binary package (version 0.9.20) from the following link: http://www.vlfeat.org/download.html Extract vlfeat-0.9.20-bin in the root of the BoVW directory. Add the following line in vlfeat-0.9.20-bin\vlfeat-0.9.20\toolbox\vl_setup.m: addpath(fullfile(root,'apps','recognition')); 1- Run BoVW.m 2- Choose number of classes 3- Browse image folders (folder for each class) 4- Choose descriptor (SIFT or SURF) 5- Train (5-fold validation) 6- Test using new images Citation: 1- Csurka, Gabriella, et al. "Visual categorization with bags of keypoints." Workshop on statistical learning in computer vision, ECCV. Vol. 1. No. 1-22. 2004. 2- Vedaldi, Andrea, and Brian Fulkerson. "VLFeat: An open and portable library of computer vision algorithms." Proceedings of the 18th ACM international conference on Multimedia. ACM, 2010.

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