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    Faculty Profile — Is this you? Login to edit.Last Modified Time: 03:46:58 PM Fri, 19 Jul 2013 
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Alice J O'Toole
Endowed Professorship-Behavioral & Brain Sciences
Office MailstopMail Box: GR41, Room No.: GR 4.214 
Email Address    Primary Phone Number 972-883-2486    URL O'toole Alice's Web Page    Media Contact
 Professional Preparation
 Ph.D.Experimental PsychologyBrown University1988
 M.S.Experimental PsychologyBrown University1985
 B.A.PsychologyThe Catholic University of America, Washington, DC1983
Collapse Section Expand Section Research and Expertise
Research Interests

I am a Professor in the Cognition and Neuroscience program at The University of Texas at Dallas. My research interests include perception, memory, and cognition, with special interests in recognition memory for faces. Recent work in my lab is concerned more generally with how we recognize people, both from moving and static displays. We have also developed and tested computational models of face recognition and have tried to link the performance of these models to the characteristics of human performance on similar tasks. Combined, the human memory and computational studies are useful for developing theoretical ideas about how the brain represents the highly complex visual information in human faces.

My research interests include perception, memory, and cognition, with special interests in recognition memory for faces.  Recent work in my lab is aimed at understanding how we recognize people, both from moving and static displays. We are also working on comparing human performance on face recognition tasks to the performance of state-of-the-art face recognition algorithms. Another effort in my lab is focused on functional neuroimaging of high level vision, with emphasis on the use of pattern-based classifiers to analyze neural activation patterns.

Collapse Section Expand Section Publications
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  YearPublication  Type
Natu, V. & O’Toole, A. J. (2013, accepted). Neural perspectives on the other race effect. Visual Cognition.
O’Toole, A. J. & Natu, V. (2013, accepted). Computational perspectives on the other race effect. Visual Cognition.
O’Toole, A. J., Phillips, P.J., An, X. & Dunlop, J. (in press). Demographic effects on estimates of automatic face recognition. Image and Vision Computing.
Tistarelli, M., Barrett, S. E., & O’Toole, A.J. (2012). Face recognition, facial expression, and intention detection. In (Eds. Emilio Mordini and D. Tzovaras) Second generation biometrics: The Ethical, legal and social context. Springer Books.
O’Toole, A.J., An, X., Dunlop, J.P., Natu, V. & Phillips, P.J. (2012). Comparing face recognition algorithms to humans on challenging tasks. ACM Transactions on Applied Perception. 9(4), Article 16
Collapse Section Expand Section Presentations and Projects
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Start DateEnd DatePresentation/Project
2006 2006 The role of familiarity in view-based transferability of face identity adaptation.
Jiang, F. Blanz, V. O'Toole, A. J. (2006).6th Annual Meeting of the Vision Science Society, Sarasota,
2006 2006 Face recognition algorithms surpass humans matching face images that vary in illumination.
O'Toole, A. J., Phillips, P. J., Jiang, F. Ayyad, J. Panard, N. Abdi, H. (2006). 6th Annual Meeting of the Vision Science Society, Sarasota, FL, May, 2006.
2006 2006 When does an unfamiliar face become familiar? The effect of image type and familiarity on face recognition.
Roark, D. A., Abdi, H., O'Toole, A. J. (2006) 6th Annual Meeting of the Vision Science Society, Sarasota, FL, May, 2006.
2005 2005 Pattern-based classification of fMRI data: A "brain-reading" approach to understanding neural representation.
O'Toole, A. J. (2005). Neural Information Processing Systems Workshop on Decoding brain states with machine learning: Applications to fMRI. Dec 9, Whistler, BC, Canada.
2005 2005 Three dimensional shape and surface reflectance contributions to opponent-based face identity adaptation.
O'Toole, A. J., Jiang, F. & Blanz, V. (2005). 5th Annual Meeting of the Vision Science Society, Sarasota, FL, May, 2005.
Collapse Section Expand Section Appointments
DurationRankDepartment / SchoolCollege / OfficeUniversity / Company
1999-PresentProfessor(tenure)  The University of Texas at Dallas
1995-1999Associate Professor(tenure)  The University of Texas at Dallas
1989-1994Assistant Professor  The University of Texas at Dallas
1989-989Postdoctoral FellowEcole Nationale Superieure des Telecommunications Universitie de Bourgogne, Dijon, France
1988-1988Postdoctoral FellowLaboratoire de Psychologie Universitie de Bourgogne, Dijon, France
1985-1988Research AssistantCenter for Cognitive Science Brown University
1983-1984Research AssistantHuman Learning LaboratoryCenter for Cognitive ScienceBrown University
1982-1983Research AssistantHuman Learning Laboratory The Catholic University of America
2006-2008Face recognition performance: Man versus machine $405,000Previous
2004-2006Evaluating face and person recognition algorithms with human benchmarks $325,000Previous
2003-2005Benchmarking human face matching performance over changes in photometric conditionsTechnical Support Working Group$638,000Previous
2003-2004Person recognition from video using multiple biometric cues DARPA/ONRHumanID Program$545,000Previous
2000-2003Person recognition hom video using multiple biometric cues DARPA/AF SORHumanID Program$628,000Previous
2000-2000DARPAHumanID Program Initiative$22,000Previous
1998-2000Assessing algorithms as computational models for human face recognitionNational Institute of Standards and Technology$150,000Previous
1994-1999A perceptual learning theory of the information in facesNational Institutes of Mental Health$480,000Previous
1997-1998Senior Personnel, Raytheon-TI Systems, DOD/DARPAArtificial Neural Network$6,000Previous
1995-1997Natural language as an approach to software generationTexas Instruments$50,000Previous
1994-1995The Role of Image- and Shape-Based Features in Face RecognitionAlexander von Humboldt Research Fellowship$30,000Previous
1994-1994Laboratory instrumentation for research in cognitive scienceState of Texas, Permanent University Fund$46,000Previous
1992-1993A Computational Model of Structure-from-Stereopsis Incorporating the Spatiotemporal Aspects of Biological Stereopsis.Texas Instrtunents$15,000Previous
1990-1990Laboratory Instrumentation for the Applied Cognition and Neuroscience Master's ProgramState of Texas, Permanent University Fund$85,000Previous
 News Articles
Prof Shares Facial Recognition Security Research
UT Dallas News Center
A UT Dallas professor recently presented her research on biometric security technology to officials of the United Kingdom’s Home Office, which oversees the nation’s anti-terrorism and crime-fighting efforts.
Dr. Alice O’Toole, a professor of cognitive neuroscience in the School of Behavioral and Brain Sciences, went to London to present her findings at the Biometrics Exhibition and Conference. There, she participated in an international panel discussion of leading-edge applications for biometrics. Biometrics is the measurement of physical characteristics to identify individuals, such as fingerprints, DNA, retinal patterns or facial features.
During the October conference, the United Kingdom’s Home Office hosted a smaller meeting for prominent academics and government officials. The Olympics are slated for London in 2012, so security leaders were particularly interested in how biometrics might be used to protect against terrorism or other types of crime, O’Toole said.

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 Additional Information

Postdoctoral Fellow, supported by the French Embassy to the United States, Université de Bourgogne, Dijon, France.

Post-Doctoral Fellow, January-July, 1989, Continued funding and joint affiliation, Ecole Nationale Superieure des Télécomrnunications, Paris and Laboratoire de Psychologie, Universitéde Bourgogne, Dijon, France.

Alexander von Humboldt Research Fellow, (Aug., 1994 - Jan.,1995; Aug., 1995 - Jan., 1996), Max Planck Institiit iiir biologische Kybemetik, Tubingen, Germany.

Professional Service

Ad hoc Reviewer (selected, last 3 years):
Acta Psychological, Brain & Cognition, British Journal of Developmental Psycholgy, Child Development, Cognitive Psychology, Current Biology, IEEE Transactions on Pattem Analysis and Machine Intelligence, Memory & Cognition, Nature, Nature Neuroscience, Neuron, Perception, Psychological Science, Pattem Recognition Letters, Science, PloS Biology, Vision Research, Visual Cognition

Editorial Board
Vision Science Society, Annual Meeting, 2002-present

Grant Proposal Review :
National Institutes of Mental Health - Perception and Cognition Review Panel, Visiting Member (2001-2003)
National Science Foundation Reviewer - Collaborative Research in Computational Neuroscience - Panel Member (2005)

Co-chair with Daniel Levin:
6th Annual Workshop on Object Perception and Memory - Dallas, TX Nov. 19, 1998

Personal Statement

My research interests include human perception, memory, and cognition, with an emphasis on computational approaches to modeling human information processing. I received a B.A. in Psychology (1983) from The Catholic University of America, Washington, DC, and a M.S. (1985) and Ph.D. (1988) in Experimental Psychology from Brown University, Providence, RI. Subsequently, I was a Postdoctoral Fellow at the Université de Bourgogne, Dijon, France, supported by the French Embassy to the United States, and at the Ecole Nationale Superieure des Télécommunications, Paris, France.

In 1989, I came to the University of Texas at Dallas, where I established a laboratory for visual perception and image/object recognition experiments. In 1994-1996 I participated in two 6 month sabbaticals at the Max Planck Institute for Biological Cybernetics, Tübingen, Germany supported by the Alexander von Humboldt Foundation. There, I worked on a variety of projects aimed at modeling the perceptual information in three-dimensional laser scans of human heads and relating this information to human memory for faces.

I have continued this collaboration and have also continued on work at UTD on human memory for faces, and computational models of visual perception. I am currently working on two projects. The first is aimed at understanding how we recognize people from multiple, dynamic, biometric cues to identity. The second involves computational modeling of data from functional neuroimaging experiments.

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