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机构地区:[1]上海交通大学生物医学工程系,上海200030
出 处:《上海交通大学学报》2002年第1期76-78,共3页Journal of Shanghai Jiaotong University
基 金:中法科技合作项目 ( A类第 87号 );上海市科学发展基金资助项目 ( 985 10 70 16 )
摘 要:多眼定位方法利用多个摄像机之间 ,多个目标特征点之间的冗余信息来提高目标的定位精度 .利用手术区域的特殊标记作为标准参考点建立世界坐标系 ,有效地简化了繁琐的摄像机标定过程 .仿真和实验结果吻合 ,实测精度优于 1 mm.该方法不仅对精确、灵活、可靠地执行计算机辅助医学干预具有重要的作用 ,而且对放射治疗、工业机器人。The passive multi eye localizer is a multi ocular stereo vision system. It is based on the direct reconstruction of 3D scenes from multiviews under the projective geometry. The redundant information among the cameras and the feature points can be used to improve the accuracy and reliability of the local izer. The calibration process is easy to be implemented when the special feature points near the field of surgery are taken as the standard reference points to build the world coordinate system. The simulated data are coincident with the experiment results. The accuracy of this method is better than 1 mm in the volume of 1 mm 3. Such a localizing method makes computer assisted medical intervention perform accurately, easily and reliably. It can also be extended to the research of radiology, industrial machine, virtual reality technology and navigation system.
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