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Description: 文章Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005的c++源码,k-fan匹配和可视对象识别的监督学习算法的实现.
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Author: 余晖 |
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Description: 文章Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005的c++源码,k-fan匹配和可视对象识别的监督学习算法的实现.
-Article Spatial Priors for Part-based Recognition using Statistical Models (Crandall, Felzenszwalb, Huttenlocher) CVPR 2005 the c++ Source, k-fan match and visual object recognition supervised learning algorithm.
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Author: 余晖 |
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Description: 图像分割的算法实现，是matlab版本-felzenszwalb。-Semi-automatic image segmentation source code.
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Author: 微微蓝 |
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Description: 基于图论Felzenszwalb 算法的图像分割算法分析和研究，-Felzenszwalb algorithm based on graph theory image segmentation algorithm analysis and research,
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Author: 谷继红 |
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Description: 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. McAllester, D. Ramanan
Discriminatively Trained Mixtures of Deformable Part Models
PASCAL VOC Challenge 2008
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Author: liucun |
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Description: 人脸检测的最新论文-CVPR-2010,Cascade-Object-Detection-with-Deformable-Part-Models--Felzenszwalb-Girshick-McAllester-Face detection of the latest paper-CVPR-2010
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Author: 邓方旗 |
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Description: Pedro Felzenszwalb。图像处理界的牛人。此为其编写的一套图像处理库。-Pedro Felzenszwalb. Image processing cattle industry. Prepared for this for a set of image processing library.
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Author: 彭海 |
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Description: 一个基于Felzenszwalb的latent svm的目标检测框架-This is an implementation of our object localization system as described in [1]. This system is an adaption of the object detection framework of Felzenszwalb et al. [2][3](http://people.cs.uchicago.edu/~pff/latent-release3/).
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Author: 白芸 |
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Description: CVPR2008一篇判别训练，多尺度，变形部分建模的实现作者P. Felzenszwalb等-This is an implementation of the system described in:P. Felzenszwalb, D. McAllester, D. Ramaman.A Discriminatively Trained, Multiscale, Deformable Part Model.To appear in CVPR 2008.
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Size: 1232896 |
Author: 张文刚 |
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Description: 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 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.
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Size: 24576 |
Author: samuraiguy81 |
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Description: 图像分割VC++源代码，2004年Pedro F. Felzenszwalb and Daniel P. Huttenlocher的基于图的高效图像分割算法-Image segmentation VC++ source code, 2004 Pedro F. Felzenszwalb and Daniel P. Huttenlocher efficient image segmentation algorithm based on graph
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Size: 27648 |
Author: zhujiaojiao |
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Description: a C++ implementation of the stereo and image restoration algorithms described in the paper:
Efficient Belief Propagation for Early Vision
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, Vol. 70, No. 1, October 2006
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Author: mfeogrape |
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Description: 下面这个论文描述的分割算法的实现：
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.
这个程序使用彩色图像（PPM格式）并为产生的分割结果的每个区域随机分配颜色。-Implementation of the segmentation algorithm described in:
Efficient Graph-Based Image
Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer
Vision, 59(2) September 2004.
The program takes a color image (PPM format) and produces a segmentation
with a random color assigned to each region.
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Size: 19456 |
Author: 沙天飞 |
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Description: 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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Author: liu |
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Description: 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 Slides from a recent talk.pdf 科学网—[转载]Windows下运行DPM(voc-release4.pdf 在Windows下运行Felzenszwalb的Deformable Part Models(voc-release4.pdf
值得参考，都与voc-release相关论文、介绍、博客……(to compile and run the output in win, three kinds of target recognition; Resources -- 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 Slides from a recent talk.pdf -]Windows science network [reprint run DPM (voc-release4.pdf under Windows Deformable running Felzenszwalb Part Models (voc-release4.pdf
It is worth reference, and voc-release related papers, presentations, blog......)
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Author: 柳程
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