1phog
所属分类：图形图像处理
开发工具：matlab
文件大小：19KB
下载次数：9
上传日期：2015-12-17 10:46:07
上 传 者：
可可西里
说明： 学习层次加权再金字塔特征提取与分类，主要实现直方图特征提取与金字塔多层特征提取
(learn the level weights when merging all the pyramid levels)
文件列表:
1phog\anna_binMatrix.m (1183, 2008-03-04)
1phog\anna_phog.m (1538, 2008-03-04)
1phog\anna_phogDescriptor.m (1097, 2008-03-04)
1phog\anna_phog_demo.m (123, 2015-05-20)
1phog\image_0058.jpg (14200, 2004-11-09)
1phog\image_0058.jpg.txt (6361, 2015-05-20)
1phog (0, 2015-05-20)
Using the Caltech 101 splits provided on the web and an SVM Classifier you should have the following results:
Shape 180 Shape180 Shape360 Shape360
(whole image) (roi) (whole image) (roi)
l=0 13.20 14.70 16.20 17.57
l=1 33.07 38.56 36.14 44.37
l=2 46.99 58.76 47.25 61.69
l=3 48.43 61.04 49.28 61.63
merge
(exhaustive
search) 51.76 ***.31 54.33 66.27
merge
(varma
method) 49.21 60.19 50.00 61.04
NOTE: SVM 1-vs-all has been used to learn the level weights when merging all the pyramid levels.
------------------------------------------------
Using the Caltech 256 splits provided on the web and an SVM Classifier you should have the following results:
Shape 180 Shape180 Shape360 Shape360
(whole image) (roi) (whole image) (roi)
merge
(exhaustive
search) 16.81 24.28 19.31 27.17
NOTE: again, SVM 1-vs-all has been used to learn the level weights when merging all the pyramid levels.
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