Shape-context1

所属分类:matlab编程
开发工具:matlab
文件大小:103KB
下载次数:183
上传日期:2011-03-05 09:29:35
上 传 者liuyanxin
说明:  自己整理的关于shape context。有matlab代码和word文档,word文档是关于shape context原理的介绍。相当全面。
(Their order on the shape context. A matlab code and word document, word document is an introduction on the principles of shape context. Quite comprehensive.)

文件列表:
Shape context1\bdry_extract_3.m (634, 2000-09-05)
Shape context1\bookstein.m (659, 2000-09-05)
Shape context1\demo_1.m (1155, 2000-09-08)
Shape context1\demo_1.m~ (1155, 2000-09-06)
Shape context1\demo_2.m (8879, 2000-09-26)
Shape context1\demo_2.m~ (8879, 2000-09-09)
Shape context1\digit_100_train_easy.mat (627576, 2000-09-05)
Shape context1\digit_100_train_hard.mat (627576, 2000-09-05)
Shape context1\dist2.m (820, 2000-09-05)
Shape context1\gaussker.m (115, 2000-09-05)
Shape context1\get_samples_1.m (577, 2000-09-05)
Shape context1\hist_cost_2.m (432, 2000-09-05)
Shape context1\hungarian.m (11250, 2000-09-05)
Shape context1\im.m (335, 2000-09-05)
Shape context1\save_fish_def_3_1.mat (7288, 2000-09-05)
Shape context1\save_fish_noise_3_2.mat (7288, 2000-09-05)
Shape context1\save_fish_outlier_3_2.mat (8856, 2000-09-05)
Shape context1\sc_compute.m (1963, 2000-09-06)
Shape context1\Shape context.htm (60906, 2011-03-04)
Shape context1\tps_iter_match_1.m (4810, 2000-09-26)
Shape context1\tps_iter_match_1.m~ (4810, 2000-09-26)
Shape context1 (0, 2011-03-05)

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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