sc_demo
所属分类:模式识别(视觉/语音等)
开发工具:matlab
文件大小:10497KB
下载次数:160
上传日期:2012-09-02 11:59:35
上 传 者:
卡西
说明: 形状上下文的matlab源码,有demo,进行字母数字的匹配
(Shape context matlab source code, demo, matching alphanumeric)
文件列表:
sc_demo\bdry_extract_3.m (634, 2011-11-28)
sc_demo\bookstein.m (659, 2011-11-28)
sc_demo\demo_1.m (1155, 2011-11-28)
sc_demo\demo_1.m~ (1155, 2011-11-28)
sc_demo\demo_2.m (8879, 2011-11-28)
sc_demo\demo_2.m~ (8879, 2011-11-28)
sc_demo\digit_100_train_easy.mat (627576, 2011-11-28)
sc_demo\digit_100_train_hard.mat (627576, 2011-11-28)
sc_demo\dist2.m (820, 2011-11-28)
sc_demo\gaussker.m (115, 2011-11-28)
sc_demo\get_samples_1.m (577, 2011-11-28)
sc_demo\hist_cost_2.m (432, 2011-11-28)
sc_demo\hungarian.m (11250, 2011-11-28)
sc_demo\im.m (335, 2011-11-28)
sc_demo\save_fish_def_3_1.mat (7288, 2011-11-28)
sc_demo\save_fish_noise_3_2.mat (7288, 2011-11-28)
sc_demo\save_fish_outlier_3_2.mat (8856, 2011-11-28)
sc_demo\sc_compute.m (1963, 2011-11-28)
sc_demo\t10k-images.idx3-ubyte (7840016, 1998-01-26)
sc_demo\t10k-labels.idx1-ubyte (10008, 1998-01-26)
sc_demo\tps_iter_match_1.m (4810, 2011-11-28)
sc_demo\tps_iter_match_1.m~ (4810, 2011-11-28)
sc_demo\train-images.idx3-ubyte (47040016, 1996-11-18)
sc_demo\train-labels.idx1-ubyte (60008, 1996-11-18)
sc_demo (0, 2012-09-02)
Shape Context Demo
Serge Belongie (sjb@eecs.berkeley.edu)
Sept. 4, 2000
1. Information on Chui and Rangarajan data (for demo_1.m)
Each filename is of the form
save_{fish,chinese,hand}_{def,noise,outlier}_m_n.mat
The value of m refers to the test number, n refers to the test example
number. The range of m is 1-5 for deformation and outlier, 1-6 for
noise. The range of n is 1-100.
Example: save_fish_outlier_3_2.mat
This corresponds to the "fish" shape, outlier test, test no. 3 (out of
5), corresponding to 100% outlier to data ratio, example no. 2.
Each file contains the model data (x1), the target data (y2a), and in
the case of the noise test, the target data before adding noise (y2).
2. Information on Digit Matching test (for demo_2.m)
This uses test data from Yann LeCun's MNIST database; see
http://www.research.att.com/~yann/ocr/mnist/ for details.
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