Segment Based Camera Calibration

被引:7
作者
马颂德
魏国庆
黄金风
机构
[1] NationalLabofPatternRecognitionInstituteofAutomation,ChineseAcademyofSciences,Beijing,NationalLabofPatternRecognition,InstituteofAutomation,ChineseAcademyofSciences,Beijing,NationalLabofPatternRecognition,InstituteofAutomation,ChineseAcademyofSciences,Beij
关键词
Camera calibration; line correspondences; perspective transformation matrix; 3D reconstruction;
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摘要
<正> The basic idea of calibrating a camera system in previous approaches is to determine cameraparameters by using a set of known 3D points as calibration reference.In this paper,we present amethod of camera calibration in which camera parameters are determined by a set of 3D lines.A setof constraints is derived on camera parameters in terms of perspective line mapping.From these con-straints,the same perspective transformation matrix as that for point mapping can be computedlinearly.The minimum number of calibration lines is 6.This result generalizes that of Lin,Huangand Faugeras for camera location determination in which at least 8 line correspondences are re-quired for linear computation of camera location.Since line segments in an image can be located easi-ly and more accurately than points,the use of lines as calibration reference tends to ease the compu-tation in image preprocessing and to improve calibration accuracy.Experimental results on thecalibration along with stereo reconstruction are reported.
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页码:11 / 16
页数:6
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