Shape model-based 3D ear detection from side face range images

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2005-September, Issue , 2005, Pages

  Chen, Hui ^a   Bhanu, Bir ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EAR RECOGNITION SYSTEM; EDGE SEGMENTS; EFFECTIVE APPROACHES; HUMAN EAR; POTENTIAL REGION; RANGE IMAGES; REGISTRATION ERROR; SHAPE MODEL;

3D MODELING;

EID: 56749115969     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.525     Document Type: Conference Paper

References (17)

1. A. Iannarelli, Ear Identification, Forensic Identification Series. Paramont Publishing Company, 1989.
2. A. Jain, BIOMETRICS: Personal Identification in Network Society. Kluwer Academic, 1999.
3. D. Hurley, M. Nixon, and J. Carter, “Automatic ear recognition by force field transformations,” IEE Colloquium on Visual Biometrics, pp. 7/1 -7/5, 2000.
4. M. Burge and W. Burger, “Ear biometrics in computer vision,” Proc. Int. Conf. on Pattern Recognition, vol. 2, pp. 822-826, 2000.
5. K. Chang, K. Bowyer, S. Sarkar, and B. Victor, “Comparison and combination of ear and face images in appearance-based biometrics,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1160-1165, 2003.
6. B. Bhanu and H. Chen, “Human ear recognition in 3D,” Workshop on Multimodal User Authentication, pp. 91-98, 2003.
7. H. Chen and B. Bhanu, “Contour matching for 3D ear recognition,” 7th IEEE Workshops on Application of Computer Vision, vol. 1, pp. 123-128, 2005.
8. P. Yan and K. W. Bowyer, “Multi-Biometrics 2D and 3D ear recognition,” Audio and Video based Biometric Person Authentication, 2005.
9. H. Chen and B. Bhanu, “Human ear detection from side face range images,” Proc. Int. Conf. on Pattern Recognition, vol. 3, pp. 574-577, 2004.
10. J. Garcia, J. Valles, and C. Ferreira, “Detection of three-dimensional objects under arbitrary rotations based on range images,” Optics Express, vol. 11, no. 25, pp. 3352-3358, 2003.
11. B. Heisele and W. Ritter, “Segmentation of range and intensity image sequences by clustering,” Proc. IEEE Conf. on Information Intelligence and Systems, pp. 223-227, 1999.
12. J. Sparbert, K. Dietmayer, and D. Streller, “Lane detection and street type classification using laser range images,” IEEE Intelligent Transportation Systems conference proceedings, pp. 454-459, 2001.
13. J. M. Keller, P. Gader, R. Krishnapuram, and X. Wang, “A fuzzy logic automatic target detection system for LADAR range images,” IEEE International Conference on computatinoal intelligence, vol. 1, pp. 71-76, 1998.
14. E. B. Meier and F. Ade, “Object detection and tracking in range image sequences by separation of image features,” IEEE Internation conference on Intelligent Vehicles, pp. 176-181, 1998.
15. N. Yokoya and M. D. Levine, “Range image segmentation based on differential geometry: A hybrid approach,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 11, no. 6, pp. 643-649, 1989.
16. P. Besl and N. D. Mckay, “A method of registration of 3-D shapes,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, 1992.
17. G. Turk and M. Levoy, “Zippered polygon meshes from range images,” Proceedings of Conf. on Computer Graphics and Interactive Techniques, pp. 311-318, 1994.