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ICA_TOOLBOX---icalab
MATLAB ICALAB FASTICA代码，挺难得的(The MATLAB FASTICA code, very rare)
- 2012-11-02 19:01:11下载
- 积分：1
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rentigenzong
实现人体跟踪的源代码，实现对视频中目标人物的跟踪(The human tracking source code, the video of the target person tracking)
- 2013-01-10 19:24:18下载
- 积分：1
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Glcm-untitled
基于图像灰度共生矩阵的特征提取代码，程序实现0 45 90 135度4个方向的特征提取(GLCM based on image feature extraction code, the program achieved 04,590,135 degrees in four directions of the feature extraction)
- 2011-11-08 16:25:21下载
- 积分：1
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test3
利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)
- 2013-12-12 12:39:48下载
- 积分：1
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zernike_ydiff
zernike不变矩。特征提取方法。基于形状的特征提取方法。(zernike moment invariants. Feature extraction methods. Shape-based feature extraction method.)
- 2014-06-18 18:25:32下载
- 积分：1
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Harris.rar
特征提取是图像配准的重要步骤，使用Harris角点检测算法实现图像拼接。(Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.)
- 2010-05-28 14:28:51下载
- 积分：1
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MM-GM-PHD
基于MM-GMPHD算法多目标跟踪，对目标数目，观测量进行估计，共有五个不同时刻产生的目标，(multi-target tracking )
- 2021-01-27 12:38:41下载
- 积分：1
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udf
运用在fluent中的udf，解决边界正弦运动的情况，非常珍贵(Border harmonic vibration UDF, use them in fluent, very precious resource)
- 2021-04-13 21:08:56下载
- 积分：1
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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )
- 2012-10-30 16:17:30下载
- 积分：1
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ImageRetrieval
毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件(Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files)
- 2010-09-14 17:31:44下载
- 积分：1
