副教授 硕士生导师
性别: 男
毕业院校: 吉林大学
学位: 博士
所在单位: 机械工程学院
学科: 车辆工程
办公地点: 大连理工大学综合2号实验楼318A房间
电子邮箱: jincn@dlut.edu.cn
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论文类型: 会议论文
发表时间: 2016-08-07
收录刊物: EI、CPCI-S、Scopus
页面范围: 1766-1770
关键字: Hole Reconstruction; Optimization; Point cloud; Statistical Distribution
摘要: High precise reconstruction of hole contour from point cloud is the important step in reverse engineering of sheet metal body parts. High density of point cloud will help improve the accuracy of hole contour reconstruction. But the limits of hardware and data handling capacity prevent the increasing of point cloud density. For the auto-body or large body parts, the point cloud density is limited to a low level. This paper discusses the possibility of high precise reconstruction of hole contour from low density point cloud, and confirms that there are enough points with high possibility on the location very close to the border if the hole size is far larger than average spacing of point cloud. Using those precise points, the high accuracy reconstruction can be done, this paper presents the general method of optimization-based reconstruction for circle hole and other shaped holes.