{"title":"有效的立体匹配使用可靠的点为基础的图切","authors":"Haoqian Wang, M. Wu, Yongbing Zhang, Lei Zhang","doi":"10.1109/VCIP.2013.6706415","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an effective stereo matching algorithm using reliable points and region-based graph cut. Firstly, the initial disparity maps are calculated via local windowbased method. Secondly, the unreliable points are detected according to the DSI(Disparity Space Image) and the estimated disparity values of each unreliable point are obtained by considering its surrounding points. Then, the scheme of reliable points is introduced in region-based graph cut framework to optimize the initial result. Finally, remaining errors in the disparity results are effectively handled in a multi-step refinement process. Experiment results show that the proposed algorithm achieves a significant reduction in computation cost and guarantee high matching quality.","PeriodicalId":407080,"journal":{"name":"2013 Visual Communications and Image Processing (VCIP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Effective stereo matching using reliable points based graph cut\",\"authors\":\"Haoqian Wang, M. Wu, Yongbing Zhang, Lei Zhang\",\"doi\":\"10.1109/VCIP.2013.6706415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an effective stereo matching algorithm using reliable points and region-based graph cut. Firstly, the initial disparity maps are calculated via local windowbased method. Secondly, the unreliable points are detected according to the DSI(Disparity Space Image) and the estimated disparity values of each unreliable point are obtained by considering its surrounding points. Then, the scheme of reliable points is introduced in region-based graph cut framework to optimize the initial result. Finally, remaining errors in the disparity results are effectively handled in a multi-step refinement process. Experiment results show that the proposed algorithm achieves a significant reduction in computation cost and guarantee high matching quality.\",\"PeriodicalId\":407080,\"journal\":{\"name\":\"2013 Visual Communications and Image Processing (VCIP)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Visual Communications and Image Processing (VCIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VCIP.2013.6706415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Visual Communications and Image Processing (VCIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2013.6706415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective stereo matching using reliable points based graph cut
In this paper, we propose an effective stereo matching algorithm using reliable points and region-based graph cut. Firstly, the initial disparity maps are calculated via local windowbased method. Secondly, the unreliable points are detected according to the DSI(Disparity Space Image) and the estimated disparity values of each unreliable point are obtained by considering its surrounding points. Then, the scheme of reliable points is introduced in region-based graph cut framework to optimize the initial result. Finally, remaining errors in the disparity results are effectively handled in a multi-step refinement process. Experiment results show that the proposed algorithm achieves a significant reduction in computation cost and guarantee high matching quality.