{"title":"使用自由形式的线条确定相机姿势","authors":"S. Nagarajan, T. Schenk, B. Csathó","doi":"10.1109/WNYIPW.2010.5649747","DOIUrl":null,"url":null,"abstract":"Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form lines as a common feature between image and object spaces has always been a challenge. It is basically due to the unavailability of a mathematical model that relates free-form lines in object space, image space and pose of the camera. This paper introduces an innovative mathematical model to determine the camera pose using free-form lines. Everything recorded by a sensor can be considered a discretization of the physical surface [1]. Hence, it is less likely that the same points can be recorded or identified in both image and object space and it is usually easier to find corresponding lines. The method will lead a way to determine pose of images using historical Geographical Information System(GIS) or object space data.","PeriodicalId":210139,"journal":{"name":"2010 Western New York Image Processing Workshop","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Determining camera pose using free-form lines\",\"authors\":\"S. Nagarajan, T. Schenk, B. Csathó\",\"doi\":\"10.1109/WNYIPW.2010.5649747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form lines as a common feature between image and object spaces has always been a challenge. It is basically due to the unavailability of a mathematical model that relates free-form lines in object space, image space and pose of the camera. This paper introduces an innovative mathematical model to determine the camera pose using free-form lines. Everything recorded by a sensor can be considered a discretization of the physical surface [1]. Hence, it is less likely that the same points can be recorded or identified in both image and object space and it is usually easier to find corresponding lines. The method will lead a way to determine pose of images using historical Geographical Information System(GIS) or object space data.\",\"PeriodicalId\":210139,\"journal\":{\"name\":\"2010 Western New York Image Processing Workshop\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Western New York Image Processing Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WNYIPW.2010.5649747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Western New York Image Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WNYIPW.2010.5649747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form lines as a common feature between image and object spaces has always been a challenge. It is basically due to the unavailability of a mathematical model that relates free-form lines in object space, image space and pose of the camera. This paper introduces an innovative mathematical model to determine the camera pose using free-form lines. Everything recorded by a sensor can be considered a discretization of the physical surface [1]. Hence, it is less likely that the same points can be recorded or identified in both image and object space and it is usually easier to find corresponding lines. The method will lead a way to determine pose of images using historical Geographical Information System(GIS) or object space data.