自然图像抠图/视频抠像技术发展情况梳理

Sason@CSDN

持续更新.

当前更新日期2013.03.05, 添加Fast Mating、Global Matting、视频扣像。

当前更新日期2013.04.23,添加2本Computer Vision书籍中相关章节。

自然图像抠图：

1. Bayesian Matting, Chuang, CVPR 2001.

http://grail.cs.washington.edu/projects/digital-matting/papers/cvpr2001.pdf  论文下载

http://grail.cs.washington.edu/projects/digital-matting/image-matting/ 项目网址

2. GraphCut Segmentation System, Rother, 2004.

http://pdf.aminer.org/000/292/851/demonstration_of_segmentation_with_interactive_graph_cuts.pdf 论文下载

http://pub.ist.ac.at/~vnk/software.html     Vladimir Kolmogorov

http://vision.csd.uwo.ca/code/ — some graph cut libraries and MATLAB wrappers

http://www.cis.upenn.edu/~jshi/GraphTutorial/ 宾大石建波老师做的教程

http://code.google.com/p/segmentationgraphcut/  Implementation of the articleStar Shape Prior for Graph-Cut Image Segmentation

3. Possion Matting, Sun, 2004.

http://research.microsoft.com/pubs/69117/poissonmatting_siggraph04.pdf 论文下载

http://www.cad.zju.edu.cn/home/zldong/code.html 浙江大学CAD&CG LAB董子龙主页

4. Lazy Snapping, Li, 2004.

http://research.microsoft.com/apps/pubs/default.aspx?id=69040  论文下载

http://lzhj.me/archives/93 一个博客中的相关介绍

https://github.com/zhijie/lazy-snapping-  C++实现

http://cs.brown.edu/courses/csci1950-g/results/final/thale/  一个学生的实现

http://www.cs.cmu.edu/~mohitg/segmentation.htm   "Lazy Snapping"和“GrabCut”的Matlab实现，基于交互式图割

5. Easy Matting, Guan, Eurographics,2006.

http://www.cad.zju.edu.cn/home/chenwei/research/EG2006_paper.pdf 论文下载

6. Flash Matting, Sun,ACM Transactions on Graphics, 2006.

http://research.microsoft.com/en-us/um/people/jiansun/papers/FlashMatting_SIGGRAPH06.pdf 论文下载

7. Robust Matting, Wang,CVPR 2007.

grail.cs.washington.edu/pub/papers/wang2007robust.pdf 论文下载

8. Spectral Matting, Levin, CVPR 2006.

http://www.vision.huji.ac.il/SpectralMatting/  项目网址，包括论文、代码和数据

9. Closed-form Matting, Levin, CVPR 2007.

http://people.csail.mit.edu/alevin/matting.tar.gz  代码下载网址

10. Learning-based Matting, Zheng, ICCV 2009.

http://www.mathworks.com/matlabcentral/fileexchange/31412  代码下载网址

11. Shared Matting, Gastal, Eurographics, 2010.

www.inf.ufrgs.br/~eslgastal/SharedMatting/  项目地址

http://download.csdn.net/detail/jlwyc/4676516  一个OpenCV实现

12. Fast Matting,K. He,CVPR2010.

mmlab.ie.cuhk.edu.hk/2010/CVPR10_FastMatting.pdf

13. Global Matting, K. He, CVPR 2011.

research.microsoft.com/pubs/147302/heetal.pdf

14. Non-local Matting, Lee, CVPR 2011.

http://users.eecs.northwestern.edu/~pgl622/files/NonlocalMatting_Lee_2011.pdf  论文下载

15. KNN Matting, Chen, CVPR 2012.

http://ihome.ust.hk/~dli/projects/knn/  项目网址，包括论文、代码和数据

视频抠像：

1. Video Matting of Complex Scenes, ACM Transactions on Graphics, 2002.

2. Bayesian video matting using learnt image priors, CVPR 2004.

www.robots.ox.ac.uk/~nema/publications/Apostoloff04c.pdf

3. Defocus Video Matting, ACM Trans. Graph.2005.

http://dash.harvard.edu/bitstream/handle/1/4101995/mcguire-defocus.pdf?sequence=2

4. Natural video matting using camera arrays, ACM Transactions on Graphics, 2006.

http://graphics.ucsd.edu/papers/camera_array_matting/MultiCameraMatting.pdf

5. Spectral Video Matting, VMV, 2009.

vmv09.tu-bs.de/downloads/papers/eis09.pdf

6. Temporally coherent video matting, Graph.Models, 2010.

visualcomputing.yonsei.ac.kr/papers/2010/matting.pdf

7. Automatic Spectral Video Matting, PR, 2012.

http://www.sciencedirect.com/science/article/pii/S0031320312004463

其他资料：

1. Image and Video Matting: A Survey, Wang, 2007

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.190.1825&rep=rep1&type=pdf

2. A Perceptually Motivated Online Benchmark for ImageMatting

http://www.alphamatting.com/

3. 数字抠像的最新研究进展 - 自动化学报 2012

www.aas.net.cn/qikan/manage/wenzhang/20121002.pdf

4. Bayesian & Robust Matting & Flash Matting的实现

http://mpac.ee.ntu.edu.tw/~sutony/vfx_matting/index.html

5. Image Matting GUI，4 algorithms include Poisson Matting

http://www.cs.unc.edu/~lguan/Research.files/Research.htm#IM

6. Some Techniques of Natural Image and Video Matting

http://www.cad.zju.edu.cn/home/zldong/course/CV2/Image%20Matting.doc

7. Richard J. Radke,Computer Vision forVisual Effects, Cambridge, 2013.

Chapter 2, Image Matting.

8. Richard Szeliski, Computer Vision: Algorithm andApplication, 2010.

Chapter 10. 4, Image matting andcompositing.

http://blog.csdn.net/anshan1984/article/details/8581225

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