{"title":"使用分层图像结构的收敛控制","authors":"Changhoon Yim, A. Bovik","doi":"10.1109/IAI.1994.336672","DOIUrl":null,"url":null,"abstract":"This paper presents a fast and reliable vergence control method using a hierarchical image structure for active vision systems. In this method, the sign pyramid is generated from the Laplacian pyramid. The search for the common fixation point and the disparity value of that point is performed by sign-correlation matching and a coarse-to-fine search strategy. This method works well for a very large range of disparities and is not sensitive to calibration problems common to stereo images.<<ETX>>","PeriodicalId":438137,"journal":{"name":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"12 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Vergence control using a hierarchical image structure\",\"authors\":\"Changhoon Yim, A. Bovik\",\"doi\":\"10.1109/IAI.1994.336672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fast and reliable vergence control method using a hierarchical image structure for active vision systems. In this method, the sign pyramid is generated from the Laplacian pyramid. The search for the common fixation point and the disparity value of that point is performed by sign-correlation matching and a coarse-to-fine search strategy. This method works well for a very large range of disparities and is not sensitive to calibration problems common to stereo images.<<ETX>>\",\"PeriodicalId\":438137,\"journal\":{\"name\":\"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation\",\"volume\":\"12 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.1994.336672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1994.336672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vergence control using a hierarchical image structure
This paper presents a fast and reliable vergence control method using a hierarchical image structure for active vision systems. In this method, the sign pyramid is generated from the Laplacian pyramid. The search for the common fixation point and the disparity value of that point is performed by sign-correlation matching and a coarse-to-fine search strategy. This method works well for a very large range of disparities and is not sensitive to calibration problems common to stereo images.<>
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