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Face Recognition and its Application

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Biometric Solutions

Abstract

Face recognition has long been a goal of computer vision, but only in recent years reliable automated face recognition has become a realistic target of biometrics research. New algorithms, and developments spurred by falling costs of cameras and by the increasing availability processing power have led to practical face recognition systems. These systems are increasingly being deployed in a wide range of practical applications, and future improvements promise to spread the use of face recognition further still. In this chapter, we review the field of face recognition, analysing its strengths and weaknesses and describe the applications where the technology is currently being deployed and where it shows future potential. We describe the IBM face recognition system and some of its application domains.

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References

  1. S. Basu, C. Neti, N. Rajput, A. Senior, L. Subramaniam, and A. Verma. Audio-visual Large Vocabulary Continuous Speech Recognition in the Broadcast Domain. In Multimedia Signal Processing, 1999.

    Google Scholar 

  2. H. S. M. Beigi, S. H. Maes, U. V. Chaudhari, and J. S. Sorensen. IBM Model-based and Frame-by-frame Speaker Recognition. In Speaker Recognition and its Commercial and Forensic Appications, Avignon, April 1998.

    Google Scholar 

  3. Biometrics in Human Services User Group. URL: http://www.dss.state.ct.us/digital.htm.

  4. Duane M. Blackburn, Mike Bone, and P. Jonathon Phillips. Facial Recognition Vendor Test 2000 Evaluation Report. Technical Report, Department of Defence Counterdrug Technology Development Program Office, February 2001. http://www.dodcounterdrug.com/facialrecognition/DLs/FRVT_2000.pdf.

  5. Roberto Brunelli and Tomaso Poggio. Face Recognition: Features versus Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10): 1042–1052, October 1993.

    Article  Google Scholar 

  6. Rama Chellappa, Charles L. Wilson, and Saad Sirohey. Human and Machine Recognition of Faces: A Survey. In Proc. of the IEEE, 83(5):705–740, May 1995.

    Google Scholar 

  7. Chin-Seng Chua, Feng Han, and Yeong-Khing Ho. 3D Human Face Recognition using Point Signature. In International Conference on Face and Gesture Recognition, pages 233–238, 2000.

    Google Scholar 

  8. Ian Craw and Peter Cameron. Face Recognition by Computer. In David Hogg and Roger Boyle, editors. In Proc. of the British Machine Vision Conference, pages 498–507. Springer Verlag, September 1992.

    Google Scholar 

  9. . Audio-visual intent to Speak Detection for Human-computer Interaction. In Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000.

    Google Scholar 

  10. Defense Advanced Research Projects Agency. Human Identification at a Distance, BAAOO-29 edition, Feb 2000. URL: http://www.darpa.mil/iso2/HID/BAA0029_PIP.htm

  11. Robert Donovan. Trainable Speech Synthesis. PhD thesis, Cambridge University Engineering Department, 1996.

    Google Scholar 

  12. G. J. Edwards, C. J. Taylor, and T. F. Cootes. Interpreting Faces using Active Appearance Models. In International Conference on Face and Gesture Recognition, no. 3, pages 300–305, April 1998.

    Google Scholar 

  13. Raphael Feraud, Olivier Bernier, Jean Emmanuael Viallet, and Michel Collobert. A Fast and Accurate Face Detector for Indexation of Face Images. In International Conference on Face and Gesture Recognition. IEEE, March 2000.

    Google Scholar 

  14. Lee Gomes. Can Facial Recognition Help Snag Terrorists? The Wall Street Journal, September 21 2001.

    Google Scholar 

  15. H.P. Graf. Sample-based Synthesis of Talking Heads. In Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pages 3–7, July 2001.

    Google Scholar 

  16. http://www.innoventry.com.

  17. M. Kirby and L. Sirovich. Application of the Karhunen-Loève Procedure for the Characterization of Human Faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(1): 103–108, 1990.

    Article  Google Scholar 

  18. M. La Cascia, S. Sclaroff, and V. Athitsos. Fast, Reliable Head Tracking under Varying Illumination: An Approach Based on Registration of Texture-mapped 3D Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(4):322–336, April 2000.

    Article  Google Scholar 

  19. B. Maison, C. Neti, and A. Senior. Audio-visual Speaker Recognition for Video Broadcast News: Some Fusion Techniques. In Multi-media Signal Processing, 1999.

    Google Scholar 

  20. Y. Matsumoto and A. Zelinsky. An Algorithm for Real-time Stereo Vision Implementation of Head Pose and Gaze Direction Measurement. In IEEE International Conference on Face and Gesture, page 499, 2000.

    Google Scholar 

  21. Glenn Menin. Performance Tests: Fingerprint Biometrics. PC Magazine, June 12 2001.

    Google Scholar 

  22. Chalapathy Neti and Andrew W. Senior. Audio-visual Speaker Recognition for Broadcast News. In DARPA Hub 4 Workshop, pages 139–142, March 1999.

    Google Scholar 

  23. Ana Orubeondo. A New Face for Security. InfoWorld.com, May 2001.

    Google Scholar 

  24. George Orwell. 1984. 1948.

    Google Scholar 

  25. P. S. Penev and J.J. Atick. Local Feature Analysis: A General Statistical Theory for Object Representation. Network: Computation in Neural Systems, 7(3):477–500, 1996.

    Article  MATH  Google Scholar 

  26. E. Petajan. The Communication of Virtual Human Faces using mpeg-4 Tools. In International Symposium on Circuits and Systems, vol. 1, pages 307–310, 2000.

    Google Scholar 

  27. Second International Workshop on Performance and Evaluation of Tracking and Surveillance. IEEE, December 2001.

    Google Scholar 

  28. P. Jonathon Phillips, Hyeonjoon Moon, Patrick Rauss, and Syed A. Rizvi. The FERET September 1996 Database and Evaluation Procedure. In Josef Bigün, Gérard Chollet, and Gunilla Borgefors, editors, Audio- and Video-based Biometrie Person Authentication, Lecture Notes in Computer Science, vol. 1206, pages 395–402. Springer, March 1997.

    Google Scholar 

  29. P. Jonathon Phillips, Patrick J. Rauss, and Sandor Z. Der. FERET (Face Recognition Technology) Recognition Algorithm Development and Test Results. Technical Report ARL-TR-995, Army Research Laboratory, October 1996.

    Google Scholar 

  30. Rosalind W. Picard. Affective Computing. MIT Press, 2000.

    Google Scholar 

  31. F. Prokoski. History, Current Status, and Future of Infrared Identification. In Proc. of IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, pages 5–14, June 2000.

    Chapter  Google Scholar 

  32. James M. Rehg, Kevin P. Murphy, and Paul W. Fieguth. Vision-based Speaker-detection using Bayesian Networks. In Proc. of Computer Vision and Pattern Recognition, vol. 2, pages 110–116, 1999.

    Google Scholar 

  33. A. Samal and P.A. Iyengar. Automatic Recognition and Analysis of Human Faces and Facial Rxpressions: A Survey. Pattern Recognition, 25(l):65–77, 1992.

    Article  Google Scholar 

  34. Andrew W. Senior. Face and Feature Finding for a Face Recognition System. In Second International Conference on Audio- and Video-based Biometric Person Authentication, pages 154–159, March 1999.

    Google Scholar 

  35. Andrew W. Senior. Recognizing Faces in Broadcast Video. In IEEE International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pages 105–110, September 1999.

    Google Scholar 

  36. Daniel L. Swets and John (Juyang) Weng. Using Discriminant Eigenfeatures for Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(8):831–836, August 1996.

    Article  Google Scholar 

  37. T. Tan, editor. Second IEEE International Workshop on Visual Surveillance. IEEE, 1999.

    Google Scholar 

  38. Jochen Triesch and Christoph von der Malsburg. Self-organized Integration of Adaptive Visual Cues for Face Tracking. In International Conference on Face and Gesture Recognition, pages 102–107. IEEE, March 2000.

    Google Scholar 

  39. M. Turk and A. Pentland. Eigenfaces for Recognition. Journal of Cognitive Neuro Science, 3(l):71–86, 1991.

    Article  Google Scholar 

  40. Press releases http://www.viisage.com, January 20 2001.

  41. Press releases http://www.visionics.com, June 2001.

  42. Laurenz Wiskott, Jean-Marc Fellous, and Norbert Krüger. Face Recognition by Elastic Bunch Graph Matching. Technical Report IR-INI 96-08, Buhr-Universität Bochum, Institut für Neuroinformatik, April 1996.

    Google Scholar 

  43. Laurenz Wiskott and Christoph von der Malsburg. Recognizing Faces by Dynamic Link Matching. In Proc. of the International Conference on Artificial Neural Networks, pages 347–352, 1995.

    Google Scholar 

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Senior, A.W., Bolle, R.M. (2002). Face Recognition and its Application. In: Zhang, D. (eds) Biometric Solutions. The Springer International Series in Engineering and Computer Science, vol 697. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1053-6_4

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  • DOI: https://doi.org/10.1007/978-1-4615-1053-6_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5371-3

  • Online ISBN: 978-1-4615-1053-6

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