Unique Capabilities Sponsors – Biometrics projects at CUBS Technology Transfer Record Current Leveraged Projects People – Faculty, Staff, Students Biometrics Community Leadership

1. University at BuffaloCenter for Unified Biometrics and SensorsMarch 2011

2. Overview Unique Capabilities Sponsors – Biometrics projects at CUBS Technology Transfer Record Current Leveraged Projects People – Faculty, Staff, Students Biometrics Community Leadership

3. Unique Capabilities Faculty strengths in multiple disciplines Behavioral Sciences, Social Issues Computer Vision, Visualization Chemical and Biological Sensors Pattern Recognition, Machine Learning Smart Environments, Pervasive Computing Spectroscopy Solid record of transferring of technology to field Large pool of current PhD students Growing pool of PhD alumni in industry Several current projects with industry

5. Defense Intelligence Agency (DIA)

6. Directorate of Central Intelligence (DCI)

7. National Endowment of Humanities (NEH)

8. National Science Foundation (NSF)

9. NYSTAR

11. Current ProjectsLeveraged Anthropometry Cryptography Fingerprint Indexing Fusion Handwriting Forensics People Tracking Lip Reading, Gaze Tracking Sensors Soft Biometrics Web Security

12. Anthropometrics SKIN TONE

13. CryptographyCancelable Biometrics

14. Fingerprint Indexing Enrollment Phase Searching Phase

15. Fusion

16. Handwriting Forensics

17. Lip Reading, Gaze Tracking

18. Unobtrusive People Tracking Freedom from Continuous Surveillance RECOGNIZE REASON Evolutionary Recognition RETRIEVE Did Bob and Frank meet at the library yesterday? Given building map, occupants, schedules, sensor locations

19. SensorsSkin spectroscopy and “liveness”

20. Soft BiometricsAge Estimation

21. Soft BiometricsExpressions + = AU 6 AU 12 AU 6 & 12 + + = AU 1 AU 2 AU 4 AU 1, 2 & 4 + + = AU 1 AU 4 AU 15 AU 1, 4 & 15 FACS FEAR HAPPY ANGER SAD FEAR HAPPY SAD Facial Expression Manifold

22. Soft BiometricsEmotional States

23. Q: The suspect is male 1st Iteration Pruned Set Q: The suspect has a beard 2nd Iteration Pruned Set Q: The suspect wears spectacles 3rd Iteration SUSPECT Soft BiometricsSemantic Face Retrieval Original Set

24. Soft Biometrics Crash scene analysis

25. ? ? ? Web SecurityVerify humanness MACHINES FAIL Synthetic handwriting generator poses questions in varying writing styles English! HUMANS SUCCEED

26. PeopleFaculty Frank Bright SUNY Distinguished Professor Biological, Chemical Sensors VenuGovindaraju SUNY Distinguished Professor Machine Learning Director Mark Frank Professor Behavioral Sciences Raymond Fu Assistant Professor Computer Vision, Visualization Alex Cartwright Professor Spectroscopy, Photonics AtriRudra Assistant Professor Cryptography, Coding theory

28. PeopleCurrent PhD students; Research topics Xi Cheng Biometric Fusion Gaurav Kumar Mobile Device Apps UtkarshPoruwal People Tracking ChetanRamaiah Writer Identification Manavender Reddy Gesture Recognition Ricardo N. Rodriguez Multimodal Fusion ArtiShivaram Mobile Device Apps SafwanWshah Arabic Handwriting Recognition Daekeun You Medical Analytics Yingbou Zhou Image Segmentation

29. Ph.D. Alumni (20)

30. Leadershipin Biometrics Community Program ChairCVPR Biometrics Workshop Series 2006-2011Program Co-ChairBiometrics: Theory, Applications, and Systems, BTAS 2007-2008General ChairAutomatic Identification Advanced Technologies AutoID 05Program CommitteeBTAS 2008-10, Biometric Symposium 2006-08, International Conference on Biometrics, 2007, SPIE Biometric Technology for Human Identification2009-10, International Joint Conference on Biometrics, 2011 IEEE Biometric Council Website Initiative 2011 Website Design, Construction, Hosting, and Maintenance

31. Contact VenuGovindaraju venu@cubs.buffalo.edu University at Buffalo State University of New York