已经得到个称赞     给我点赞
  • 教师姓名:王永青
  • 性别:
  • 主要任职:Dean of School of Mechanical Engineering
  • 电子邮箱:yqwang@dlut.edu.cn
  • 职称:教授
  • 所在单位:机械工程学院
  • 学位:博士
  • 学科:机械电子工程. 机械制造及其自动化
  • 毕业院校:大连理工大学
  • 曾获荣誉:国家技术发明一等奖1项、国家技术发明二等奖1项、教育部技术发明一等奖2项、教育部科技进步一等奖1项、中国机械工业科学技术一等奖1项,第九届辽宁省优秀科技工作者
  • 办公地点:机械工程学院1#楼346-2房间
  • 联系方式:yqwang@dlut.edu.cn; 0411-84708420
论文成果
当前位置: 中文主页 >> 科学研究 >> 论文成果 >> A simple point cl... >>同专业硕导
A simple point cloud data reduction method based on Akima spline interpolation for digital copying manufacture
  • 点击次数:
  • 论文类型:期刊论文
  • 发表时间:2013-12-01
  • 发表刊物:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 收录刊物:SCIE、EI、Scopus
  • 卷号:69
  • 期号:9-12
  • 页面范围:2149-2159
  • ISSN号:0268-3768
  • 关键字:Point cloud data; Data reduction; Digital copying manufacture; Akima spline interpolation
  • 摘要:Point cloud data acquisition is the first key step in digital copying manufacture. In order to reduce extremely dense acquired data while maintaining data accuracy, this paper presents a simple and practical on-line point cloud data reduction method for digital copying manufacture, which is based on Akima spline interpolation. The basic idea of this method is similar to sketch painting: Outline the broad contour of the curve first and then revise local details until the interpolated curve satisfies the required accuracy. In this method, Akima spline interpolation is adopted to connect acquired points for CNC machining in digital copying process. It obtains a smaller data reduction ratio and a smoother machined surface than conventional methods. Experimental results indicate that the proposed Akima reduction method is able to eliminate redundant data effectively under different required accuracy. The reduction performance of this method is superior to equal ATCD reduction method obviously under the same required accuracy. The proposed method can be used in the real-time data acquisition process of digital copying manufacture to replace traditional methods.
  • 发表时间:2013-12-01