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一种基于线性迭代自定标方法 被引量:7

A New Self-Calibration Algorithm Based on Linear Iteration
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摘要 提出了一种新的利用线性迭代算法来实现摄像机的自定标方法 ,该方法不需要景物中的任何先验知识 ,只需要通过线性迭代就可以实现摄像机的自定标 .本文所提出的方法分为两步 :第一步假设s=0、主点坐标位于坐标原点 ,求到绝对二次曲面在射影空间中的像 ,得到摄像机的内参数 ;第二步 ,利用第一步得到的摄像机的内参数 ,通过图像的坐标变换 ,使图像符合第一步假设的摄像机所获取的图像 ,再返回到第一步 .模拟实验和真实实验数据结果表明 ,该定标方法运算量小、鲁棒性好、收敛性好等优点 . A new method for camera self-calibration based on the linear iteration is presented in the paper.Without any prior-information about the scene provided,the self-calibration is performed by the linear iteration.The iterative algorithm is executed in two steps:Firstly,assuming the skew s=0 and the principal point lies in the origin,the absolute quadric is acquired in the projective space and then the camera intrinsic matrix is found.Secondly,with the result of the first step,the image coordinates are translated to satisfy the image captured by the camera hypothesized in the first step.These two steps are repeated and the real camera intrinsic matrix is obtained finally.The experiments with both simulate and real data show that the self-calibration method is efficient,robust and have good property of convergence.
出处 《电子学报》 EI CAS CSCD 北大核心 2004年第10期1716-1719,共4页 Acta Electronica Sinica
基金 国家自然科学基金 (No .60 372 0 4 3 60 4 731 1 9)
关键词 自定标 内参数 先验知识 图像 鲁棒性 摄像机 迭代 线性 射影空间 坐标原点 self-calibration linear iteration absolute quadric
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