Chesi Graziano, Hashimoto Koichi
Department of Information Engineering, University of Siena, 53100 Siena, Italy.
IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1239-42. doi: 10.1109/TPAMI.2004.56.
A simple technique for estimating the camera displacement from point correspondences in eye-in-hand visual servoing is presented. The idea for providing more accurate results than existing methods consists of taking into account that the point correspondences used during the camera motion correspond to stationary spatial points, hence exploiting additional information. This is done by first estimating the object Euclidean structure and then estimating the camera displacement from this estimate.
提出了一种用于从眼在手视觉伺服中的点对应关系估计相机位移的简单技术。比现有方法提供更准确结果的思路是考虑到相机运动期间使用的点对应关系对应于固定的空间点,从而利用额外信息。这通过首先估计物体的欧几里得结构,然后根据该估计来估计相机位移来实现。