Zimiao ZhangChangku SunPengfei SunPeng Wang
The pose estimation method based on geometric constraints is studied. The coordinates of the five feature points in the camera coordinate system are calculated to obtain the pose of an object on the basis of the geometric constraints formed by the connective lines of the feature points and the coordinates of the feature points on the CCD image plane; during the solution process, the scaling and orthography projection model is used to approximate the perspective projection model. The initial values of the coordinates of the five feature points in the camera coordinate system are obtained to ensure the accuracy and convergence rate of the non-linear algorithm. In accordance with the perspective projection characteristics of the circular feature landmarks, we propose an approach that enables the iterative acquisition of accurate target poses through the correction of the perspective projection coordinates of the circular feature landmark centers. Experimental results show that the translation positioning accuracy reaches ±0.05 mm in the measurement range of 0-40 mm, and the rotation positioning accuracy reaches ±0.06o in the measurement range of 4o-60o.
林嘉睿 Lin Jiarui俞吉洙 Yu JizhuLinghui Yang张饶 Zhang Rao邾继贵 Zhu Jigui
宁小娟 Ning Xiaojuan杜嘉伟 Du Jiawei李春旭 Li Chunxu黄磊 Huang Lei石争浩 Shi Zhenghao金海燕 Jin Haiyan
王志武 Wang Zhiwu张子淼 Zhang Zimiao许凯 Xu Kai张福民 Zhang Fumin刘斌 Liu Bin
刘士蕊 Liu Shirui任永杰 Ren Yongjie牛志远 Niu Zhiyuan林嘉睿 Lin Jiarui