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一种新的基于主动视觉系统的摄像机自标定方法
引用本文:雷成,吴福朝,胡占义.一种新的基于主动视觉系统的摄像机自标定方法[J].计算机学报,2000,23(11):1130-1139.
作者姓名:雷成  吴福朝  胡占义
作者单位:1. 中国科学院自动化所模式识别国家重点实验室,北京,100080
2. 中国科学院自动化所模式识别国家重点实验室,北京,100080;安徽大学人工智能研究所,合肥,230039
基金项目:国家自然科学基金!(6 9975 0 2 1,6 9875 0 0 1),国家“八六三”高技术研究发展计划!(86 3-5 12 -98-2 0 -0 3),国家“九七三”计划!
摘    要:摄像机标定是从二维图像取获三维信息必不可少的步骤。该文提出了一种新的基于主动视觉系统的摄像机自标定方法,通过控制摄像机平台作4次平移运动(其中任意3次均不在同一平面上)即可线性地标定摄像机的内参数以及摄像机坐标系与平台坐标系之间的旋转矩阵。同时,还分别给出了利用立体视觉方法和纯极点方法唯一求解摄像机坐标系与平台坐标系之间的平移向量的充要条件。

关 键 词:摄像机  自标定  主动视觉系统  计算机视觉

A New Camera Self-Calibration Method Based on Active Vision System
LEI Cheng,WU Fu-Chao,HU Zhan-Yi.A New Camera Self-Calibration Method Based on Active Vision System[J].Chinese Journal of Computers,2000,23(11):1130-1139.
Authors:LEI Cheng  WU Fu-Chao  HU Zhan-Yi
Abstract:Camera calibration is an indispensable step to obtain 3D information from 2D images. In this paper, a new camera calibration method based on active vision system is proposed. It is proved rigorously that, by controlling the camer a platform to undergo 4 translations of which no any 3 translations are co-plan ar, the camera's intrinsic parameters and the camera's orientation matrix with respect to the platform can be calibrated linearly and simultaneously. In addition, the platform's displacement vector can be determined using either stereo vision based method or epipole based method, and the sufficient and nece ssary condition of a unique solution for the above two methods find out respecti vely.
Keywords:camera self-calibration  active vision  uniqueness of solution
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