{"title":"生物驱动,精确和简单的校准和重建使用立体光学显微镜","authors":"Lars Eckert, R. Grigat","doi":"10.1109/ICCV.2001.937609","DOIUrl":null,"url":null,"abstract":"Stereoscopic calibration and reconstruction is applied to the specialized optics of a binocular monobjective stereo light microscope. Such a microscope exhibits a special kind of image distortion. Despite the difficulty of modelling the microscope, a simple calibration method as well as a fast and simple, yet precise, reconstruction algorithm is developed. Their fundamental scheme is based upon biological binocular vision. The reconstruction uses polynomial approximations up to a degree of 2 and thus has a very low computational complexity. The polynomial coefficients are identified during calibration and their number is minimal by construction. No lens data is required. Both the calibration and reconstruction algorithm are robust against a rigid motion of the microscope. Their power is proven with real data using an off-the-shelf PC.","PeriodicalId":429441,"journal":{"name":"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Biologically motivated, precise and simple calibration and reconstruction using a stereo light microscope\",\"authors\":\"Lars Eckert, R. Grigat\",\"doi\":\"10.1109/ICCV.2001.937609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stereoscopic calibration and reconstruction is applied to the specialized optics of a binocular monobjective stereo light microscope. Such a microscope exhibits a special kind of image distortion. Despite the difficulty of modelling the microscope, a simple calibration method as well as a fast and simple, yet precise, reconstruction algorithm is developed. Their fundamental scheme is based upon biological binocular vision. The reconstruction uses polynomial approximations up to a degree of 2 and thus has a very low computational complexity. The polynomial coefficients are identified during calibration and their number is minimal by construction. No lens data is required. Both the calibration and reconstruction algorithm are robust against a rigid motion of the microscope. Their power is proven with real data using an off-the-shelf PC.\",\"PeriodicalId\":429441,\"journal\":{\"name\":\"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCV.2001.937609\",\"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 Eighth IEEE International Conference on Computer Vision. ICCV 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCV.2001.937609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Biologically motivated, precise and simple calibration and reconstruction using a stereo light microscope
Stereoscopic calibration and reconstruction is applied to the specialized optics of a binocular monobjective stereo light microscope. Such a microscope exhibits a special kind of image distortion. Despite the difficulty of modelling the microscope, a simple calibration method as well as a fast and simple, yet precise, reconstruction algorithm is developed. Their fundamental scheme is based upon biological binocular vision. The reconstruction uses polynomial approximations up to a degree of 2 and thus has a very low computational complexity. The polynomial coefficients are identified during calibration and their number is minimal by construction. No lens data is required. Both the calibration and reconstruction algorithm are robust against a rigid motion of the microscope. Their power is proven with real data using an off-the-shelf PC.