节点文献

Efficient Stereo Matching Scheme Based on Graph Cuts

推荐 CAJ下载
PDF下载
不支持迅雷等下载工具，请取消加速工具后下载。

【Author】 HOU Guang-qi1,2,WEI Ping1,2,Wang Shu-hua3(1.Key Laboratory of Photo-Electronic Imaging Technology and System,Beijing Institute of Technology,Beijing 100081,China;2.School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China;3.Beijing Institute of Environmental Features,Beijing 100854,China)

【机构】 Key Laboratory of Photo-Electronic Imaging Technology and System,Beijing Institute of Technology； School of Optoelectronics,Beijing Institute of Technology； Beijing Institute of Environmental Features；

【摘要】 A new stereo matching scheme from image pairs based on graph cuts is given,which can solve the problem of large color differences as the result of fusing matching results of graph cuts from different color spaces.This scheme builds normalized histogram and reference histogram from matching results,and uses clustering algorithm to process the two histograms.Region histogram statistical method is adopted to retrieve depth data to achieve final matching results.Regular stereo matching library is used to verify this scheme,and experiments reported in this paper support availability of this method for automatic image processing.This scheme renounces the step of manual selection for adaptive color space and can obtain stable matching results.The whole procedure can be executed automatically and improve the integration level of image analysis process.更多还原

【Abstract】 A new stereo matching scheme from image pairs based on graph cuts is given,which can solve the problem of large color differences as the result of fusing matching results of graph cuts from different color spaces.This scheme builds normalized histogram and reference histogram from matching results,and uses clustering algorithm to process the two histograms.Region histogram statistical method is adopted to retrieve depth data to achieve final matching results.Regular stereo matching library is used to verify this scheme,and experiments reported in this paper support availability of this method for automatic image processing.This scheme renounces the step of manual selection for adaptive color space and can obtain stable matching results.The whole procedure can be executed automatically and improve the integration level of image analysis process.更多还原

【关键词】 stereo matching； graph cuts； Markov random fields； color space；
【Key words】 stereo matching； graph cuts； Markov random fields； color space；

【基金】 Sponsored by“985”Second Procession Construction of Ministry of Education(3040012040101)

【文献出处】 Journal of Beijing Institute of Technology ,北京理工大学学报(英文版) , 编辑部邮箱 ,2010年04期

【分类号】TP391.41
【被引频次】1
【下载频次】59

知网节下载

节点文献中：

本文链接的文献网络图示:

本文的引文网络

节点文献