{"title":"照相机和激光测距仪的相互校准","authors":"V. Caglioti, A. Giusti, D. Migliore","doi":"10.5220/0002341700330042","DOIUrl":null,"url":null,"abstract":"We present a novel geometrical method for mutually calibrating a camera and a laser rangefinder by exploiting the image of the laser dot in relation to the rangefinder reading. Our method simultaneously estimates all intrinsic parameters of a pinhole natural camera, its position and orientation w.r.t. the rangefinder axis, and four parameters of a very generic rangefinder model with one rotational degree of freedom. The calibration technique uses data from at least 5 different rangefinder rotations: for each rotation, at least 3 different observations of the laser dot and the respective rangefinder reading are needed. Data collection is simply performed by generically moving the rangefinder-camera system, and does not require any calibration target, nor any knowledge of environment or motion. We investigate the theoretical limits of the technique as well as its practical application; we also show extensions to using more data than strictly necessary or exploit a priori knowledge of some parameters.","PeriodicalId":411140,"journal":{"name":"International Conference on Computer Vision Theory and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mutual Calibration of a Camera and a Laser Rangefinder\",\"authors\":\"V. Caglioti, A. Giusti, D. Migliore\",\"doi\":\"10.5220/0002341700330042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a novel geometrical method for mutually calibrating a camera and a laser rangefinder by exploiting the image of the laser dot in relation to the rangefinder reading. Our method simultaneously estimates all intrinsic parameters of a pinhole natural camera, its position and orientation w.r.t. the rangefinder axis, and four parameters of a very generic rangefinder model with one rotational degree of freedom. The calibration technique uses data from at least 5 different rangefinder rotations: for each rotation, at least 3 different observations of the laser dot and the respective rangefinder reading are needed. Data collection is simply performed by generically moving the rangefinder-camera system, and does not require any calibration target, nor any knowledge of environment or motion. We investigate the theoretical limits of the technique as well as its practical application; we also show extensions to using more data than strictly necessary or exploit a priori knowledge of some parameters.\",\"PeriodicalId\":411140,\"journal\":{\"name\":\"International Conference on Computer Vision Theory and Applications\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Computer Vision Theory and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0002341700330042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Computer Vision Theory and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002341700330042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mutual Calibration of a Camera and a Laser Rangefinder
We present a novel geometrical method for mutually calibrating a camera and a laser rangefinder by exploiting the image of the laser dot in relation to the rangefinder reading. Our method simultaneously estimates all intrinsic parameters of a pinhole natural camera, its position and orientation w.r.t. the rangefinder axis, and four parameters of a very generic rangefinder model with one rotational degree of freedom. The calibration technique uses data from at least 5 different rangefinder rotations: for each rotation, at least 3 different observations of the laser dot and the respective rangefinder reading are needed. Data collection is simply performed by generically moving the rangefinder-camera system, and does not require any calibration target, nor any knowledge of environment or motion. We investigate the theoretical limits of the technique as well as its practical application; we also show extensions to using more data than strictly necessary or exploit a priori knowledge of some parameters.