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这个matlab程序实现了基于一种采用判别方法训练的多尺度和可变形的物体检测模型的目标检测算法，算法可参考如下两篇论文
-[1] P. Felzenszwalb, D. McAllester, D. Ramanan
A Discriminatively Trained, Multiscale, Deformable Part Model
Proceedings of the IEEE CVPR 2008
[2] P. Felzenszwalb, R. Girshick, D.
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图像分割的算法实现，是matlab版本-felzenszwalb。-Semi-automatic image segmentation source code.
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Matlab interface for the image segmentation algorithm of
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004. -Matlab interface for the i
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将Pedro F. Felzenszwalb的 Efficient Graph Based Image segmentation 作者提供的c代码封装，提供了Matlab调用接口。 输入参数如英文所示。-offer the matlab code interface of pedro F. Felzenszwalb s efficient graph based image segmentation
（image,sigma 0.8,k 300,min_size 100)
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能够在win下编译输出，并且运行三种目标识别；拥有的资源有——HOG_cvpr2005.pdf Cascade Object Detection with Deformable Part Models-cascade.pdf Object Detection Grammars.-TR-2010-02.pdf Object Detection with Discriminatively Trained Part Based Models.pdf release4-notes.pdf S
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