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基于Meta-face Learning的工件定位算法

朱丽敏 丁伯慧 俞冠珉

朱丽敏, 丁伯慧, 俞冠珉. 基于Meta-face Learning的工件定位算法[J]. 机械科学与技术, 2015, 34(10): 1543-1546. doi: 10.13433/j.cnki.1003-8728.2015.1013
引用本文: 朱丽敏, 丁伯慧, 俞冠珉. 基于Meta-face Learning的工件定位算法[J]. 机械科学与技术, 2015, 34(10): 1543-1546. doi: 10.13433/j.cnki.1003-8728.2015.1013
Zhu Limin, Ding Baihui, Yu Guanmin. Workpiece Localization Algorithm Based on Meta-face Learning[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(10): 1543-1546. doi: 10.13433/j.cnki.1003-8728.2015.1013
Citation: Zhu Limin, Ding Baihui, Yu Guanmin. Workpiece Localization Algorithm Based on Meta-face Learning[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(10): 1543-1546. doi: 10.13433/j.cnki.1003-8728.2015.1013

基于Meta-face Learning的工件定位算法

doi: 10.13433/j.cnki.1003-8728.2015.1013
基金项目: 

国家自然科学基金青年科学基金项目(51205286)及国家自然科学基金项目(51275348)资助

详细信息
    作者简介:

    朱丽敏(1988-),硕士,研究方向为制造质量控制,CAD/CAM/CAI集成技术,zhulimin07@163.com

    通讯作者:

    丁伯慧,副教授,博士,dingbaihui@tju.edu.cn

Workpiece Localization Algorithm Based on Meta-face Learning

  • 摘要: 提出了一种包含自由曲面特征的工件定位的Meta-face Learning(MFL)算法。利用基于字典学习的图像稀疏表示方法,在交替迭代优化的基础上,通过逐次修正Euclidean变换矩阵的列向量更新测量点到名义工件模型的位姿变换,确定工件坐标系相对于测量坐标系的位姿。设计了两个自由曲面验证了本文算法,并通过与现有算法的比较说明了其具有较高的计算效率和定位精度。
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    [2] 刘阳,李圣怡,孙冲.计算制造中的几个定位问题[J]. 中国机械工程,2005,16(13):1170-1174 Liu Y, Li S Y, Sun C. Research on several localizations and inspections in computational manufacturing[J]. China Mechanical Engineering, 2005,16(13):1170-1174(in Chinese)
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出版历程
  • 收稿日期:  2013-12-30
  • 刊出日期:  2015-10-05

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