PG_BOW_DEMO
所属分类：图形图像处理
开发工具：matlab
文件大小：3540KB
下载次数：46
上传日期：2013-10-25 10:53:16
上 传 者：
donggaoxing
说明： 食物分类的图像库，做图像分类检索时会用得到
(Food image library classification, retrieval classification can be used)
文件列表:
PG_BOW_DEMO\BOW\CalculateDictionary.m (3821, 2011-10-24)
PG_BOW_DEMO\BOW\CompilePyramid.m (3354, 2011-10-24)
PG_BOW_DEMO\BOW\do_assignment.m (2384, 2011-10-24)
PG_BOW_DEMO\BOW\do_classification_inter_svm.m (2198, 2011-10-24)
PG_BOW_DEMO\BOW\do_classification_rbf_svm.m (1731, 2011-10-24)
PG_BOW_DEMO\BOW\do_normalize.m (875, 2010-12-21)
PG_BOW_DEMO\BOW\do_p_classification__inter_svm.m (2243, 2011-10-24)
PG_BOW_DEMO\BOW\do_p_classification__rbf_svm.m (1382, 2011-10-24)
PG_BOW_DEMO\BOW\draw_cm.m (1132, 2011-10-24)
PG_BOW_DEMO\BOW\EuclideanDistance.m (1303, 2010-12-21)
PG_BOW_DEMO\BOW\find_grid.m (446, 2011-10-24)
PG_BOW_DEMO\BOW\find_sift_grid.m (4292, 2010-09-08)
PG_BOW_DEMO\BOW\GenerateSiftDescriptors.m (2765, 2011-10-24)
PG_BOW_DEMO\BOW\hist_isect.m (759, 2009-01-17)
PG_BOW_DEMO\BOW\hist_isect_c.c (3305, 2010-10-31)
PG_BOW_DEMO\BOW\hist_isect_c.mexw32 (8192, 2010-10-31)
PG_BOW_DEMO\BOW\load_image.m (154, 2010-06-01)
PG_BOW_DEMO\BOW\MakeDataDirectory.m (601, 2011-10-24)
PG_BOW_DEMO\BOW\make_dir.m (223, 2008-12-10)
PG_BOW_DEMO\BOW\normalize_sift.m (650, 2008-12-10)
PG_BOW_DEMO\BOW\num2string.m (324, 2010-06-01)
PG_BOW_DEMO\BOW\read_image_db.m (264, 2010-06-01)
PG_BOW_DEMO\BOW\rotateXLabels.m (14315, 2010-10-16)
PG_BOW_DEMO\BOW\show_results_script.m (551, 2011-10-24)
PG_BOW_DEMO\BOW\sumnormalize.m (258, 2010-09-27)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0041.jpg (7711, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0042.jpg (5900, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0043.jpg (7294, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0044.jpg (5867, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0045.jpg (8424, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0046.jpg (8039, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0047.jpg (7224, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0048.jpg (5127, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0049.jpg (7508, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0050.jpg (8208, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0051.jpg (5768, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0052.jpg (8054, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0053.jpg (4570, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0054.jpg (6483, 2010-12-01)
PG_BOW_DEMO\images\testing\Phoning\Phoning_0055.jpg (10949, 2010-12-01)
... ...
========================================================================
Image Classification using Bag of Words and Spatial Pyramid BoW
Created by Piji Li (peegeelee@gmail.com)
Blog: изг http://www.zhizhihu.com
QQ: 379115886
IRLab. : http://ir.sdu.edu.cn
Shandong University,Jinan,***
10/24/2011
Some code are from:
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial
Pyramid Matching for Recognizing Natural Scene Categories," CVPR 2006.
========================================================================
Just modify the ini.m: rootpath=your demo path, and then run main.m.
The BOW and Dictionary is in the dir:/data/global, size of BOW_sift.mat is (DictionarySize * #images).
Size of dictionary.mat is (DictionarySize * dim of features).spatial_pyramid.mat is the Spatial Pyramid BoW.
In /data/local is the sift features for each images.
========================================================================
Classification using BOW rbf_svm
Accuracy = 75.8333% (91/120) (classification)
Classification using histogram intersection kernel svm
Accuracy = 82.5% (99/120) (classification)
Classification using Pyramid BOW rbf_svm
Accuracy = 82.5% (99/120) (classification)
Classification using Pyramid BOW histogram intersection kernel svm
Accuracy = 90% (108/120) (classification)
========================================================================
Idea from:
S. Lazebnik, C. Schmid, and J. Ponce, "Beyond Bags of Features: Spatial
Pyramid Matching for Recognizing Natural Scene Categories," CVPR 2006.
Images from:
Piji Li, Jun Ma, Shuai Gao. Actions in Still Web Images: Visualization, Detection and Retrieval.
The 12th International Conference on Web-Age InformationManagement (WAIM 2011). Springer, 2011.
SVM from:
Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines.
ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
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