3D Object Recognition Using Line Structure

摘要：

This paper presents an intelligent approach to recognize 3D objects using line structure correspondences. The proposed approach simultaneous recognizes an object and estimates the pose of the object. In order to achieve this goal, three challenges should be solved. First of all, line structures that human usually used to describe an object is used to represent the object. A set of such feature representation that shares the same properties with corresponding model line structures are first generated from images. Secondly, the structure correspondences are evaluated and ranked by additional features in the image. Only the most meaningful correspondences are selected. Each correspondence contributes a pose hypothesis with a transformation matrix. Finally, the approximate model pose hypotheses are estimated and refined based on the selected correspondences.

关键词： 3D object recognition line structure correspondence pose estimation

作者: Zhaojin Lu Yonghong Li Jian Wang Ping Chen Fanglin Chen

作者单位: National Key Laboratory for Electronic Measurement Technology,North University of China,Taiyuan, 030 National Key Laboratory for Electronic Measurement Technology,North University of China, Taiyuan, 03

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 220-224

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）