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3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approachest

Kittler, J., Hilton, A., Hamouz, M., Illingworth, J.·2006·2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops

Abstract

3D face recognition has lately been attracting ever increasing attention. In this paper we review the full spectrum of 3D face processing technology, from sensing to recognition. The review covers 3D face modelling, 3D to 3D and 3D to 2D registration, 3D based recognition and 3D assisted 2D based recognition. The fusion of 2D and 3D modalities is also addressed. The paper complements other reviews in the face biometrics area by focusing on the sensor technology, and by detailing the efforts in 3D face modelling and 3D assisted 2D face matching.

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Crossref · 10.1109/cvpr.2005.377

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Research works printed but not linked: 43

  1. 10.1109/AFGR.2004.1301518 · DOI
  2. 10.1145/982507.982509 · DOI
  3. 10.1109/AFGR.1998.670977 · DOI
  4. siebert, 1994, C3D: a Novel Vision-Based 3D Data Acquisition, Proc Mona Lisa European Workshop Combined Real and Synthetic Image Processing for Broadcast and Video Production
  5. 10.1109/AFGR.2004.1301540 · DOI
  6. 10.1145/566570.566600 · DOI
  7. 10.1109/34.982883 · DOI
  8. xu, 2004, Three-dimensional face recognition using geometric model, Proc SP IE, 5404, 304, 10.1117/12.541822 · DOI
  9. 10.1111/j.1467-8659.2004.00800.x · DOI
  10. 10.1016/S0167-8655(02)00066-1 · DOI
  11. cootes, 1998, Active Appearance Models, Proc of European Conference of Computer Vision, 2, 484
  12. zhang, 2004, Pose Invariant Face Recognition under Arbitrary Unknown Lighting using Spherical Har-monics, Proc Biometric Authentication Workshop 2004 (in conjunction with ECCV2004) pp 10-23, 10
  13. 10.1145/280814.280823 · DOI · Paper page
  14. 10.1109/ICPR.2004.1333938 · DOI
  15. 10.1023/A:1008105802790 · DOI
  16. 10.1109/CVPR.1992.223253 · DOI
  17. 10.1109/ICIP.2000.900950 · DOI
  18. 10.5244/C.18.55 · DOI
  19. huang, 2003, Component-based Face Recognition with 3D Morphable Models, Proceedings of the 4th International Conference on Audio-And Video-Based Biometric Person Authentication, 27, 10.1007/3-540-44887-X_4 · DOI
  20. 10.1109/MMBIA.2001.991711 · DOI
  21. 10.1109/TPAMI.2005.58 · DOI
  22. 10.1145/360825.360839 · DOI
  23. 10.1109/ICPR.2004.1334126 · DOI
  24. phillips, 2004, Technical Report IR 6965
  25. 10.1109/TPAMI.2003.1227983 · DOI
  26. 10.1109/TPAMI.2005.70 · DOI
  27. 10.1109/ICIP.1996.560578 · DOI
  28. bronstein, 2003, Expression-Invariant 3D Face Recognition, Proc 4th Int Con! on Audio- and Video-based Biometric Person Authen-tication pp, 62, 10.1007/3-540-44887-X_8 · DOI
  29. 10.1023/A:1007981719186 · DOI
  30. 10.1109/AFGR.2000.840640 · DOI
  31. 10.1109/TPAMI.2003.1177153 · DOI
  32. colbry, 2004, 3D face feature extraction for recognition, Technical Report MSU-CSE-04–39
  33. 10.1109/ICME.2003.1221305 · DOI
  34. 10.1109/ICCV.1990.139627 · DOI
  35. levine, 2004, Technical Report
  36. 10.1145/218380.218407 · DOI
  37. 10.1023/B:VISI.0000015915.50080.85 · DOI
  38. 10.1109/ICPR.2004.1334127 · DOI
  39. zhang, 2004, Spacetime faces: high resolution capture for modeling and animation, ACM Trans Graph, 23, 548, 10.1145/1015706.1015759 · DOI
  40. li, 2000, Support Vector Regression and Classification Based Multi-view Face Detection and Recognition, Proceedings of the IEEE International Conference on Face and Gesture Recognition, 300
  41. parke, 1996, Computer Facial Animation, A K Peters
  42. 10.1145/954339.954342 · DOI
  43. messer, 2004, Face authentication competition on the Banca database, Proceedings of the International Conference on Biometric Authentication, 8, 10.1007/978-3-540-25948-0_2 · DOI

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Metadata

Authors
Kittler, J., Hilton, A., Hamouz, M., & Illingworth, J.
Venue
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
Publisher
IEEE
Published
2006
Volume
3
Pages
114-114
Cited by
45
References
0

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