J4 ›› 2015, Vol. 42 ›› Issue (4): 53-56+69.doi: 10.3969/j.issn.1001-2400.2015.04.009

• 研究论文 • 上一篇    下一篇

低维矩阵约束的非刚体特征点分类方法

刘侍刚1;辛晓萌1;彭亚丽1,2;裘国永1   

  1. (1. 陕西师范大学 现代教学技术教育部重点实验室,陕西 西安  710062;
    2. 西安电子科技大学 计算机学院,陕西 西安  710071)
  • 收稿日期:2014-03-12 出版日期:2015-08-20 发布日期:2015-10-12
  • 通讯作者: 刘侍刚
  • 作者简介:刘侍刚(1973-),男,副教授,E-mail: shgliu@gmail.com.
  • 基金资助:

    国家自然科学基金资助项目(61402274,41171338,41271387);中国博士后科学基金资助项目(20080430201);中国博士后科学基金特别资助项目(200902594);陕西师范大学中央高校基本科研业务费资助项目(GK201402040,GK201302029);陕西师范大学学习科学交叉学科培育计划资助项目;陕西师范大学实验技术研究资助项目(SYJS201329,SYJS201314);陕西师范大学校级重点教学改革研究资助项目(884407)

Low dimension matrix constraint method for  classifying non-rigid features

LIU Shigang1;XIN Xiaomeng1;PENG Yali1,2;QIU Guoyong1   

  1. (1. Key Lab. of Modern Teaching Technology of Ministry of Education, Shaanxi Normal Univ., Xi'an  710062, China;
    2. School of Computer Science and Technology, Xidian Univ., Xi'an  710071, China)
  • Received:2014-03-12 Online:2015-08-20 Published:2015-10-12
  • Contact: LIU Shigang

摘要:

为了有效地对非刚体特征点进行分类,提出了一种低维子空间约束的非刚体特征点分类方法,该方法将所有非刚体特征点放入一个矩阵中,同时利用所有做刚体运动的特征点组成一个三维子空间的特性构造误差函数,误差最大的点可认为做非刚体运动,并逐一剔除差误,剩下的点即可认为做刚体运动.模拟实验和真实实验结果表明,该方法能够有效地实现非刚体特征点的分类.

关键词: 低维子空间, 特征点分类, 非刚体

Abstract:

To classify the features into the rigid and non-rigid ones, a low dimension matrix constraint method for non-rigid feature classification is proposed. All the non-rigid features are put into a matrix and an error function is introduced based on the fact that the matrix which consists of rigid features spans a 3D subspace. The feature which has a max error is regarded as the non-rigid one and moved from the matrix one by one. Experimental results with both simulated and real data show that the method can efficiently classify the features into two sets.

Key words: low dimension matrix, feature classified, non-rigid

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