Description: 最经典之做，保证别人没有上传过
实现文章
“GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts
用graphcut实现图像分割，效果非常好-The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results Platform: |
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Author:changfeng |
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Description: 与grabcut算法配套的论文，详述了对graphcut算法改进的地方，及其优点，-Matching algorithm with grabcut paper detailing the algorithm graphcut improved, and its advantages, Platform: |
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Author:芳芳 |
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Description: 1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序是下载的一个通用的虹膜识别程序，可以运行
5 GML_AdaBoost_Matlab_Toolbox是一个很好用的adaboost matlab工具箱
6 libsvm-mat-2.91-1 是用C编写的改进的SVM程序，代码质量很高，提供了matlab接口
7 SIFT_Matlab 是编写的利用sift特征进行的宽基线匹配，代码质量高
8 FLDfisher 是利用fisher 线性降维方法进行人脸识别-1.GeometricContext file is complete the picture in the geometric direction of target classification. References " Automatic Photo Pop-up" Hoiem 2005 2 GrabCut the target file is an interactive segmentation of image reference " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" C. Rother 2004 3 HOG documents prepared under their own HOG Characteristics of pedestrian detection matlab code 4 iris recognition process is to download a general iris recognition program, you can run 5 GML_AdaBoost_Matlab_Toolbox is a good use of adaboost matlab toolbox 6 libsvm-mat-2.91-1 is written in C to improve the SVM procedures, code of high quality, provides a matlab interface to 7 SIFT_Matlab is prepared for the use of sift features a wide baseline matching, the code is the use of high quality 8 FLDfisher fisher linear dimension reduction method for face recognition Platform: |
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Author:张数 |
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Description:
The software for our localized graph cut algorithm is available:
B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with Localized Graph Cuts”, to appear in Pattern Recognition Platform: |
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Author:hh |
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Description: 最经典之做，保证别人没有上传过实现文章“GrabCut" Interactive Foreground Exttraction using Iterated Graph Cuts用graphcut实现图图像分割，效果非常好
-The most classic to do, to ensure that others have not uploaded the article " GrabCut" Interactive Foreground Exttraction using Iterated Graph Cuts use graphcut map image segmentation, the effect is very good Platform: |
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Author:门槛 |
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Description: GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理（颜色）信息和边界（反差）信息，只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大，分割的效果不好；不过，这种情况下允许手工标记一些前景或背景区域，这样能得到较好的结果。-GRABCUTOpenCV in GrabCut algorithm is based on the " " GrabCut " - Interactive Foreground Extraction using Iterated Graph Cuts" in this article to achieve. The algorithm uses the image texture (color) and the boundary information (contrast) information, as long as the amount of user interaction to obtain a better segmentation results. If the color contrast between foreground and background is not, split ineffective however, allow manual marking some of the foreground or background areas, this can get better results in this case. Platform: |
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Author:yangpeide |
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Description: 用grabcut算法对图像进行分割，程序支持mask和矩形框两种输入，并附有样图和结果图。详细原理请参考文献： GrabCut - Interactive Foreground Extraction using Iterated Graph Cuts-Grabcut algorithm is for image segmentation. the program supports two input mask and a rectangular box, along with sample diagrams and results in Fig. For details please refer to the document:GrabCut- Interactive Foreground Extraction using Iterated Graph Cuts Platform: |
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Author:Linda |
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