{"title":"通过比较相机/眼球运动的输入校准线性视觉系统","authors":"L. Maloney","doi":"10.1364/av.1989.wc4","DOIUrl":null,"url":null,"abstract":"A visual system is calibrated geometrically if its estimates of the spatial properties of a scene are accurate: straight lines are judged straight, angles are correctly estimated, collinear line segments are perceived to fall on a common line. A visual system can fail to be calibrated because of a mismatch between its optics and later visual processing: calibration of computer vision systems typically requires remapping the sensor inputs to compensate for spherical aberration in the camera lens [1].","PeriodicalId":344719,"journal":{"name":"Applied Vision","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Calibrating a Linear Visual System by Comparision of Inputs Across Camera/Eye Movements\",\"authors\":\"L. Maloney\",\"doi\":\"10.1364/av.1989.wc4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A visual system is calibrated geometrically if its estimates of the spatial properties of a scene are accurate: straight lines are judged straight, angles are correctly estimated, collinear line segments are perceived to fall on a common line. A visual system can fail to be calibrated because of a mismatch between its optics and later visual processing: calibration of computer vision systems typically requires remapping the sensor inputs to compensate for spherical aberration in the camera lens [1].\",\"PeriodicalId\":344719,\"journal\":{\"name\":\"Applied Vision\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/av.1989.wc4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/av.1989.wc4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calibrating a Linear Visual System by Comparision of Inputs Across Camera/Eye Movements
A visual system is calibrated geometrically if its estimates of the spatial properties of a scene are accurate: straight lines are judged straight, angles are correctly estimated, collinear line segments are perceived to fall on a common line. A visual system can fail to be calibrated because of a mismatch between its optics and later visual processing: calibration of computer vision systems typically requires remapping the sensor inputs to compensate for spherical aberration in the camera lens [1].