Browse > Article

Head Pose Estimation Using Error Compensated Singular Value Decomposition for 3D Face Recognition  

송환종 (연세대학교 전기전자공학과 생체인식연구센터)
양욱일 (연세대학교 전기전자공학과 생체인식연구센터)
손광훈 (연세대학교 전기전자공학과 생체인식연구센터)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.6, 2003 , pp. 31-40 More about this Journal
Abstract
Most face recognition systems are based on 2D images and applied in many applications. However, it is difficult to recognize a face when the pose varies severely. Therefore, head pose estimation is an inevitable procedure to improve recognition rate when a face is not frontal. In this paper, we propose a novel head pose estimation algorithm for 3D face recognition. Given the 3D range image of an unknown face as an input, we automatically extract facial feature points based on the face curvature. We propose an Error Compensated Singular Value Decomposition (EC-SVD) method based on the extracted facial feature points. We obtain the initial rotation angle based on the SVD method, and perform a refinement procedure to compensate for remained errors. The proposed algorithm is performed by exploiting the extracted facial features in the normaized 3D face space. In addition, we propose a 3D nearest neighbor classifier in order to select face candidates for 3D face recognition. From simulation results, we proved the efficiency and validity of the proposed algorithm.
Keywords
Head pose estimation; 3D face recognition; Error Compensated SVD(EC-SVD); 3D nearest neighbor classifier;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 R. Chellappa, C. L. Wilson, and S. Sirohey, 'Human and machine recognition of faces : A survey,' Proceedings of the IEEE, vol. 83, no. 5, pp. 705-740, May 1995   DOI   ScienceOn
2 W. Zhao, R. Chellappa, A. Rosenfeld, and P.J.Phillips, 'Face recognition: A survey,' CVL Technical Report, Center for Automation Research, University of Maryland at College Park, Oct. 2000
3 T. Maurer and C. Malsburg, 'Tracking and learning graphs and pose on image sequences on faces,' Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, Vermont, USA, pp. 176-181, 1996   DOI
4 T. Horprasert, Y. Yacoob, and L.S. Davis, 'Computing 3-D head orientation from a monocular image sequence,' Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, Vermont, USA, pp. 242-247, 1996   DOI
5 D. Machin, 'Real-time facial motion analysis for virtual teleconferencing,' Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, Vermont, USA, pp. 340-344, 1996   DOI
6 E. Elagin, J. Steffens, and H. Neven, 'Automatic pose estimation system for human faces based on bunch graph matching technology,' Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, Nara, Japan, pp. 136-141, 1998   DOI
7 Q. Chen, H Wu, T. Fukumoto, and M Yachida, '3D head pose estimation without feature tracking,' Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, Nara, Japan, pp. 88-93, 1998   DOI
8 K Hattori, S. Matsumori, and Y. Sato, 'Estimating pose of human face based on symmetry plane using range and intensity images, ' Proceedings of the Fifteenth International Conference on Pattern Recognition, Brisbane, Australia vol. 2, pp. 1183-1187, 1998   DOI
9 J.C. Lee and E. Milios, 'Matching range image of human faces,' Proceedings of the Third International Conference on Computer Vision, pp. 722-726, 1990   DOI
10 B. Acherrnann, X. Jiang, and H. Bunke, 'Face recognition using range images,' International Conference on Virtual Systems and MultiMedia '97 (VSMM '97), Geneva, Switzerland, pp. 129-136, 1997
11 C.S. Chua, F. Han, and Y.K. Ho, '3D human face recognition using point signature,' Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, Grenoble, France, pp.233-238, 2000   DOI
12 Q. Chen, H. Wu, T. Shioyarna, and J. Shimada, 'Head pose estimation using both color and feature information,' Proceedings of the Fifteenth International Conference on Pattern Recognition, Barcelona, Spain, vol. 2, pp. 2842-2847, 2000   DOI
13 C. Beumier and M Acheroy, 'Automatic 3D face authentication,' Image and Vision Computing vol. 18, no. 4, pp.315-321, 2000   DOI   ScienceOn
14 R.M. Haralick, H.N. Joo, C.N. Lee, X. Zhuang, V.G. Vaidya, and M.B. Kim, 'Pose estimation from corresponding point data, ' IEEE Trans. On Systems, Man and Cybernetics vol. 19, no. 6, pp. 1426-1446, Nov. 1989   DOI   ScienceOn
15 H. T. Tanaka, M. Ikeda and H. Chiaki, 'Curvature-based face surface recognition using spherical correlation,' Proceedings of the Third International Conference on Automatic Face and Gesture Recognition, Nara, Japan, pp.372-377, 1998   DOI
16 T.S. Huang, A.N. Netravali, 'Motion and structure from feature correspondences : A Review,' Proceedings of the IEEE, vol. 82 no. 2, pp. 252-268, Feb. 1994   DOI   ScienceOn
17 T. Nagamine, T. Uemura and I. Masuda, '3D facial image analysis for human identification,' Proceedings of the International Conference on Pattern Recognition, Amsterdam, Netherlands, pp.324-327, 1992   DOI