期刊文献+

基于单幅图像的人脸三维姿态估计 被引量:6

3D pose estimation based on single face image
下载PDF
导出
摘要 针对单张人像的三维姿态计算,结合面貌测量和射影几何的理论提出了一种方法:首先在人面部的平面区域内,选取眼角点,口角点,鼻翼点建立人脸模型;然后根据人脸平面上两个相互垂直的特征线投影到照片上的灭点位置,求出人脸平面的旋转方向。该方法特征点易于标定,且无需任何的辅助设备和先验知识,具有一定的实用性。 Aiming at 3D pose computation from single facial image, a method was proposed based on the theory of anthropometry in face and projective geometry first, comers of eyes and mouth, and nosewing points were selected to establish facial model within facial plane; then, the orientation of face was determined based on the leoafion of varfishing points in image, which were resulted from two perpendicular features lines in perspective project. This method can be implemented without any auxiliary equipments and prior knowledge, distinct feature points are easy to be located, and the practicability can be verified.
出处 《计算机应用》 CSCD 北大核心 2007年第5期1138-1140,共3页 journal of Computer Applications
基金 国家自然科学基金资助项目(60573179)
关键词 姿态估计 颅像重合 灭点 人脸 pose estimation photographic superimposition vanishing points
  • 相关文献

参考文献8

  • 1梁国远,查红彬,刘宏.基于三维模型和仿射对应原理的人脸姿态估计方法[J].计算机学报,2005,28(5):792-800. 被引量:25
  • 2LEE M,RANGANATH S.Pose-invariant face recognition using a 3D deformable model[J].Pattern recognition,2003,36(8):1835-1846.
  • 3朱长仁,王润生.基于单视图的多姿态人脸识别算法[J].计算机学报,2003,26(1):104-109. 被引量:23
  • 4HO S,HUANG H.An analytic solution for the pose determination of human faces from a monocular image[J].Pattern Recognition Letters,1998,19(11):1045-1054.
  • 5YILMAZ A,SHAH M.Automatic feature detection and pose recovery for faces[A].The 5th Asian Conference on Computer Vision[C].Melbourne,2002.284-289.
  • 6HORPRASERT T,YACOOB T,DAVIS L.Computing 3D head orientation from a monocular image sequence[A].IEEE International Conference on Automatic Face and Gesture Recognition[C].Vermont,1996.242-247.
  • 7GEE A,CIPOLLA R.Estimating gaze from a single view of a face[A].Proceedings of the 12th International Conference on Pattern Recognition[C].Jerusalem,1994.758 -760.
  • 8WANG J,SUNG E.Pose determination of human faces by using vanishing points[J].Pattern Recognition,2001,34(12):2427 -2445.

二级参考文献20

  • 1[1]Chellappa R, Wilson C L, Sirohey S. Human and machine recognition of faces: Asurvey. In: Proceedings of the IEEE, 1995,83(5):705~740
  • 2[2]Samal A, Iyengar P A. Automatic recognition and analysis of human faces and facial expressions: A survey. Pattern Recognition, 1992,25(1):65~77
  • 3[3]Valentin D, Abdi H, O'Toole A J. Cottrel G W. Connectionist model of face processing: A survey. Pattern Recognition, 1994,27(9):1209~1230
  • 4[4]Brunelli R, Poggio T. Face recognition: Feature versus templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993,15(10):1042~1052
  • 5[5]Turk M, Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 1991, 3(1):71~86
  • 6[6]Pentland A, Moghaddam B, Starner T. View based and modular eigenspaces for face recognition. In: Proceedings of IEEE ConferenceCVPR'94, Seattle, 1994. 84~91
  • 7[7]Lam K M, Yan H. An improved method for locating and extracting the eye in human face images. In: Proceedings of ICPR'96,Vienna, Austria, 1996, C:411~415
  • 8[8]Xie X, Sudhaker R, Zhuang H. On improving eye feature extraction using deformable templates. Pattern Recognition, 1994,27(6):791~799
  • 9Ho S.Y., Huang H., An analytic solution for the pose determination of human faces from a monocular image. Pattern Recognition Letters, 1998, 19(11): 1045~1054
  • 10Lopez R., Huang T.S. 3D head pose computation from 2D images: Template versus features. In: Proceedings of the IEEE International Conference on Image Processing, Washington, DC, 1995, 2: 599~602

共引文献46

同被引文献65

引证文献6

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部