Electrical Computer
Resume:
ALEIX M. MARTINEZ
Ohio State University
Work address: 205 Dreese Labs
Department of Electrical and Computer Engineering
The Ohio State University
Columbus, OH 43210
Office Phone: +1-614-***-****
FAX: +1-614-***-****
E-mail: *****@***.***.***
Personal webpage: http://www.ece.osu.edu/~aleix/
Lab webpage: http://cbcsl.ece.ohio-state.edu/
ACADEMIC EDUCATION
Ph.D. in Computer Engineering, 1998
UNIVERSITAT AUT NOMA DE BARCELONA (Barcelona, Spain)
Ph.D. in Computer Science, 1998
UNIVERSIT DE PARIS (Paris, France)
M.S. in Computer Engineering, 1995
UNIVERSITAT AUT NOMA DE BARCELONA (Barcelona, Spain)
POSITIONS HELD (INVERSE CHRONOLOGICAL ORDER)
09/2008 present Associate Professor, Electrical and Computer Engineering, The Ohio State
University, OH
08/2005 present Founder and director of the Computational Biology and Cognitive Science Lab,
The Ohio State University, OH
06/2005 present Member of the Center for Cognitive Science, The Ohio State University, OH
01/2003 present Participating Faculty in the Biomedical Engineering Department, The Ohio State
University, OH
09/2002 08/2008 Assistant Professor, Electrical and Computer Engineering, The Ohio State
University, OH
06/2000 08/2002 Research Associate, Electrical and Computer Engineering, Purdue University,
IN
01/1999 05/2000 Researcher, Sony Computer Science Laboratory, Paris, France
09/1998 12/1998 Post-Doctoral Researcher, Electrical and Computer Engineering, Purdue
University, IN
08/1997 10/1997 Visiting Scholar, Electrical and Computer Engineering, Purdue University, IN
10/1996 09/1998 Teaching Assistant, Department of Computer Engineering, Universitat Aut noma
de Barcelona.
10/1994 09/1998 Research Assistant, Computer Vision Center, Universitat Aut noma de
Barcelona.
CURRENT RESEARCH FUNDING
NIH R01-EY-020834: A STUDY OF THE COMPUTATIONAL SPACE OF FACIAL EXPRESSIONS
OF EMOTION.
Source of funding: NATIONAL INSTITUTES OF HEALTH.
Duration: 5 years.
Principal Investigators: Prof. Aleix Martinez.
Award: $1,810,938.
NIH R21-DC-011081: COMPUTATIONAL METHODS FOR ANALYSIS OF MOUTH SHAPE IN
SIGN LANGUAGES.
Source of funding: NATIONAL INSTITUTES OF HEALTH.
Duration: 2 years.
Principal Investigators: Prof. Aleix Martinez, PI; Prof. Ronnie Wilbur, co-PI (Linguistics, Purdue
University).
Award: $400,052.
NSF IIS 07-13055: RI: Computer Vision Algorithms for the Study of Facial Expressions of
Emotions in Sign Languages.
Source of funding: NATIONAL SCIENCE FOUNDATION.
Duration: 3 years + 1 year extension.
Principal Investigator: Prof. Aleix Martinez.
Award: $366,171.
PAST RESEARCH FUNDING
NIH R01-DC-005241: ASL NONMANUALS: A LINGUISTIC AND COMPUTATIONAL ANALYSIS.
Source of funding: NATIONAL INSTITUTES OF HEALTH.
Duration: 5 years (with an additional 1 year extension).
Principal Investigators: Prof. Aleix Martinez and Prof. Ronnie Wilbur (Linguistics, Purdue
University).
Award: $2,167,000.
Mathematical Bioscience Institute (National Science Foundation center), Mathematical
Bioengineering program.
Source of funding: NATIONAL SCIENCE FOUNDATION
Duration: 4 months.
Principal Investigator: Prof. Aleix Martinez.
Award: $15,000.
Honda Research Foundation Grant: Sponsored of the Human-Computer Interaction
Workshop.
Source of funding: HONDA RESEARCH FOUNDATION.
Principal Investigator: Prof. Aleix Martinez.
Award: $3,000.
NSF BSC 99-05848
Source of funding: NATIONAL SCIENCE FOUNDATION
Duration: 3 years.
Doctoral Fellowship (FPI program)
Source of funding: Ministerio de Educaci n y Ciencia (Spanish National Science Foundation)
Duration: 4 years (1994-1998).
GRADUATE STUDENTS
Current Graduate Students
Di You PhD candidate Dept. of Electrical and Computer Engineering.
Samuel Rivera PhD student Dept. of Electrical and Computer Engineering.
Carlos Benitez-Quiroz PhD student Dept. of Electrical and Computer Engineering.
Shichuan Du PhD student Dept. of Electrical and Computer Engineering.
Luis Felipe Giraldo PhD student Dept. of Electrical and Computer Engineering.
Post-Docs
Dr. Paulo Gotardo Postdoctoral student, 2010 present.
Research topics: Facial expressions of emotion and grammar.
Dr. Onur Hamsici Postdoctoral student, 2008 2009.
Research topics: Pattern recognition; machine learning; statistical shape
analysis; face perception.
Dr. Jeff Fortuna Postdoctoral student, 2005 2006 (Now at McMaster University).
Research topics: Structure from motion; facial expression analysis.
Past Graduate Students at OSU
Paulo Gotardo Ph.D., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: Modelling Smooth Time-Trajectories for Camera and Deformable Shape
in Structure from Motion with Occlusion.
Graduation date: August 2010.
Liya Ding Ph.D., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: Modeling and Recognition of Manuals and Non-Manuals in American
Sign Language.
Graduation date: June 2009.
Hongjun Jia Ph.D., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: A Study of the Missing Data Problem in 3D Structure from Motion and
2D Face Recognition.
Graduation date: March 2009.
Onur Hamsici Ph.D., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: Bayes Optimality in Classification, Feature Extraction and Shape
Analysis.
Graduation date: August 2008.
Donald Neth Ph.D., Dept. of Biomedical Engineering, The Ohio State University.
Thesis: Facial Configuration and the Perception of Facial Expression.
Graduation date: August 2007.
Seyfettin Bilgin MS, Dept. of Electrical and Computer Engineering.
Graduation date: March 2007
Manli Zhu Ph.D., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: The Role of the Eigenvalue Decomposition in Discriminant Analysis.
Graduation date: August 2006.
Danelle Willbraham M.S., Dept. of Psychology, The Ohio State University.
Co-advised with Prof. J.T. Todd, Dept. of Psychology.
Thesis: Human Recognition of Faces Across Changing Context Is Not
Dependent of Image Similarity.
Graduation date: September 2005.
Onur Hamsici M.S., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: Feature Extraction: The role of subclass divisions and spherical
representations.
Graduation date: August 2005.
Yongbin Zhang M.S., Dept. of Electrical and Computer Engineering, The Ohio State University.
Thesis: Face Analysis from Video.
Graduation date: March 2005.
EDITORIAL AND PUBLICATION REVIEW
Editor
IEEE Transactions on Pattern Analysis and Machine Intelligence, Associate Editor, 2007-present.
Image and Vision Computing, Editorial Board, 2008-present
Journal of Intelligent Service Robotics, Springer, Editor, 2007-present.
Encyclopedia of Biometric Recognition, Area Editor, Springer.
Guest Editor
Co-Guest Editor of the special issue on Face Recognition in the journal Computer Vision and
Image Understanding; with Prof. David Kriegman, University of California, San Diego, and Prof.
Ming-Hsuan Yang, University of California, Merced. Published in July-August 2003.
Conference Chair and Area Chair
AREA CHAIR: IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage (AK), 2008.
AREA CHAIR: International Conference on Pattern Recognition (ICPR), Istanbul (Turkey), 2010.
AREA CHAIR: International Conference on Automatic Face and Gesture Recognition, Santa
Barbara (CA), 2011.
CO-GENERAL CHAIR AND CO-ORGANIZER: 2nd IEEE Workshop on Vision for Human-Computer
Interaction, New York (NY), June 2006, with Prof. Larry Davis (UMD).
CHAIR: 2nd IEEE Workshop on Face Processing from Video, Vancouver (Canada), May 2005.
CO-GENERAL CHAIR AND CO-ORGANIZER: IEEE Workshop on Computer Vision and Pattern
Recognition for Human-Computer Interaction, Madison (WI), June 2003, with Prof. Hong Tan
(Purdue University).
Organizing Committee (others)
PUBLICITY CHAIR: IEEE International Conference on Automatic Face and Gesture Recognition,
Amsterdam (The Netherlands), 2008.
LOCAL COMMITTEE: IAPR National Symposium on Shape Analysis and Image Processing,
Barcelona (Spain), 1997.
Program Committee at Conferences
1. IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2003 2010.
2. EUROPEAN CONFERENCE ON COMPUTER VISION (ECCV), 2006 2010.
3. IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2007 2009.
4. INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2002, 2004, 2008.
5. IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (F&G),
2008.
6. IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2009 2010.
7. IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2004 2008.
8. CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION, 2005 2008.
9. IEEE INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS, AND SYSTEMS,
2007 2010.
10. INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS,
2005 2007.
11. ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (ICME), 2008 2010.
12. IEEE ASIAN CONFERENCE ON COMPUTER VISION (ACCV), 2009 2010.
13. IEEE SIBGRAPI: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, 2010.
14. GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 1999.
15. INTERNATIONAL CONFERENCE ON AFFECTING COMPUTING & INTELLIGENCE INTERACTION,
AMSTERDAM (THE NETHERLANDS), 2009.
16. IBERIAN CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA), 2011.
Program Committee at Workshops
1. IEEE WORKSHOP ON HUMAN COMMUNICATIVE BEHAVIOR ANALYSIS, SAN FRANCISCO (CA),
2010.
2. IEEE WORKSHOP ON ANALYSIS AND MODELING OF FACES AND GESTURES, SAN FRANCISCO
(CA), 2010.
3. ACM SOCIAL SIGNAL PROCESSING WORKSHOP, FLORENCE (ITALY), 2010
4. IEEE WORKSHOP ON HUMAN COMMUNICATIVE BEHAVIOR ANALYSIS, MIAMI (FL), 2009.
5. IEEE WORKSHOP ON HUMAN COMMUNICATIVE BEHAVIOR ANALYSIS, ANCHORAGE (AK), 2008.
6. INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR HUMAN COMPUTING,
HYDERABAD (INDIA), 2007.
7. IEEE WORKSHOP ON COMPONENT ANALYSIS METHODS FOR CLASSIFICATION, CLUSTERING,
MODELING, AND ESTIMATION PROBLEMS IN COMPUTER VISION, MINNEAPOLIS (MN), 2007.
8. INTERNATIONAL WORKSHOP ON VIDEO PROCESSING FOR SECURITY, QUEBEC CITY (CANADA),
2006.
9. IEEE WORKSHOP ON VISION FOR HUMAN-COMPUTER INTERACTION, SAN DIEGO (CALIFORNIA),
2005.
10. IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, BRECKENRIDGE (COLORADO), 2005.
11. IEEE WORKSHOP ON COMPUTER VISION AND PATTERN RECOGNITION FOR HUMAN-COMPUTER
INTERACTION, MIAMI (FLORIDA), 2000.
Journal Reviewer
1. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE.
2. IEEE TRANSACTIONS ON NEURAL NETWORKS.
3. IEEE TRANSACTIONS ON IMAGE PROCESSING.
4. IEEE TRANSACTIONS ON SIGNAL PROCESSING.
5. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS A.
6. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS B.
7. IEEE TRANSACTIONS ON SYSTEMS, MAN AND CYBERNETICS C.
8. IEEE TRANSACTIONS ON MEDICAL IMAGING.
9. IEEE TRANSACTIONS ON MULTIMEDIA.
10. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION.
11. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING.
12. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING.
13. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS.
14. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY.
15. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY.
16. IEEE SIGNAL PROCESSING LETTERS.
17. COMPUTER VISION AND IMAGE UNDERSTANDING.
18. INTERNATIONAL JOURNAL OF COMPUTER VISION.
19. IMAGE AND VISION COMPUTING.
20. ACM COMPUTER SCIENCE SURVEYS.
21. PATTERN RECOGNITION.
22. PATTERN RECOGNITION LETTERS.
23. APPLICATIONS OF ARTIFICIAL INTELLIGENCE.
24. IMAGE COMMUNICATION.
25. IEE ELECTRONICS LETTERS.
26. IEE PROCEEDINGS VISION, IMAGE AND SIGNAL PROCESSING.
27. COMPUTERS & GRAPHICS JOURNAL.
28. ROBOTICS AND AUTONOMOUS SYSTEMS.
29. INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS.
30. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE.
31. PATTERN ANALYSIS & APPLICATIONS JOURNAL.
32. MACHINE VISION AND APPLICATIONS JOURNAL.
33. JOURNAL OF BIOMECHANICS.
34. VISUAL COGNITION.
35. NEUROCOMPUTING.
36. BMC BIOINFORMATICS.
Reviewed for the Following Funding Agencies (and Panels)
NATIONAL SCIENCE FOUNDATION (NSF), USA.
Panels: Computer Vision; Research Experiences for Undergraduates (REU); CAREER.
Reviewer for perception, action and cognition.
NATIONAL INSTITUTES OF HEALTH (NIH), USA.
Panels: Methodology and Measurement in the Behavioral and Social Sciences, Cognition and
Perception Study Section.
NATIONAL SCIENCE AND ENGINEERING RESEARCH COUNCIL OF CANADA (NSERC), CANADA.
THE MATHEMATICS OF INFORMATION TECHNOLOGY AND COMPLEX SYSTEMS (MITACS),
CANADA.
THE LOUISIANA BOARD OF REGENTS, PFUND PROGRAM, USA.
NETHERLANDS ORGANIZATION FOR SCIENTIFIC RESEARCH, THE NETHERLANDS.
Research and Textbooks Reviewed for
PRENTICE-HALL.
MCGRAW-HILL.
PATENTS
Method of recognizing partially occluded and/or imprecisely localized faces
Patented jointly by Purdue University and Sony
Investigator: A.M. MARTINEZ
PUB. NO. US 2003/0007669 AI
CITATIONS
According to the citation indices of ISI Thomson and Google -scholar, the papers detailed
below have been cited about 3,000 times.
The paper PCA versus LDA is one of the most cited papers (in the top 1.5%) of all those ever
published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
According to ISI Thomson, IEEE Transactions on Pattern Analysis and Machine Intelligence
had (in 2008) the highest impact factor of all journals in electrical engineering and the fifth
highest in all of computer science. In the publication list below, the impact factor is listed for all
the journals with a value equal or larger than 1.
The paper recognizing imprecisely localized, partially occluded and expression variant faces
from a single sample per class is also a well cited paper, in the top 8% of all those ever
published in IEEE Transactions on Pattern Analysis and Machine Intelligence.
The AR-face database is one of the most cited dataset of face images in the world and has
become a standard dataset in papers on face and pattern recognition. At present, it has been
downloaded by more than 2,000 researchers.
JOURNAL PUBLICATIONS
1. You, D., Hamsici, O.C. & Martinez, A.M., Kernel Optimization in Discriminant Analysis,
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press.
2. Neth, D. & Martinez, A.M., A Computational Shape-based Model of Anger and Sadness
Justifies a Configural Representation of Faces, Vision Research, Vol. 50, pp. 1693 1711, 2010.
3. Ding, L. & Martinez, A.M., Features versus Context: An approach for precise and detailed
detection and delineation of faces and facial features, IEEE Transactions on Pattern Analysis and
Machine Intelligence, Vol. 32, No. 11, 2010.
4. Fortuna, J. & Martinez, A.M., Rigid Structure from Motion from a Blind Source Separation
Perspective, International Journal of Computer Vision, Vol. 88, No. 3, pp. 404-424, 2010.
5. Hamsici, O.C. & Martinez, A.M., Rotation Invariant Kernels and Their Application to Shape
Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 11, pp.
1985-1999, 2009.
6. Ding, L. & Martinez, A.M., Modelling and Recognition of the Linguistic Components in
American Sign Language, Image and Vision Computing, Vol. 27, No. 12, pp. 1826-1844, 2009.
7. Jia, H. & Martinez, A.M., Low-Rank Matrix Fitting Based on Subspace Perturbation Analysis
with Applications to Structure from Motion, IEEE Transactions on Pattern Analysis and
Machine Intelligence, 31(4):841-854, 2009.
8. Neth, D. & Martinez, A.M., Emotion Perception in Emotionless Face Images Suggests a Norm-
based Representation, Journal of Vision, Vol. 9, No. 1, Article 5, Pages 1-11, 2009.
9. Wilbraham, D., Christensen, J., Martinez, A.M. & Todd, J.T., Can low level image differences
account for the ability of human observers to discriminate facial identity? Journal of Vision,
Vol. 8, No. 15, Article 5, pp. 1-12, 2008.
10. Martinez, A.M. & Hamsici, O.C., Who Is LB1? Discriminant Analysis for the Classification of
Specimens, Pattern Recognition, 41(11): 3436-3441, 2008.
11. Zhu, M. & Martinez, A.M., Using the Information Embedded in the Testing Sample to Break the
Limits Caused by the Small Sample Size in Microarray-based Classification, BMC
Bioinformatics, 9:280, 2008.
12. Hamsici, O.C. & Martinez, A.M., Bayes Optimality in Linear Discriminant Analysis, IEEE
Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, No. 4, pp. 647-657, 2008.
13. Zhu, M. & Martinez, A.M., Pruning Noisy Bases in Discriminant Analysis, IEEE Transactions
on Neural Networks, Vol. 19, No. 1, pp. 148-157, 2008.
14. Hamsici, O.C. & Martinez, A.M., Spherical-Homoscedastic Distributions: The equivalency of
Normal and spherical distributions in classification, Journal of Machine Learning Research,
8(Jul):1583-1623, 2007.
15. Zhu, M. & Martinez, A.M., Subclass Discriminant Analysis, IEEE Transactions on Pattern
Analysis and Machine Intelligence, Vol. 28, No. 8, pp. 1274-1286, 2006.
16. Zhang, Y. & Martinez, A.M., A Weighted Probabilistic Approach to Face Recognition from
Multiple Images and Video Sequences, Image and Vision Computing, Vol. 24, No. 6, pp. 626-
638, 2006.
17. Martinez, A.M. & Zhu, M., Where Are Linear Feature Extraction Methods Applicable? IEEE
Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 12, 2005.
18. Kim, Y., Martinez, A.M. & Kak, A.C., Robust Motion Estimation under Varying Illumination,
Image and Vision Computing, Vol. 23, no. 4, pp. 365-375, 2005.
19. Martinez, A.M., Mittrapiyanuruk, P. & Kak, A.C., On Combining Graph-Partitioning with Non-
Parametric Clustering for Image Segmentation, Computer Vision and Image Understanding,
Vol. 95, No. 1, pp. 72-85, 2004.
20. Martinez, A.M., Matching Expression Variant Faces, Vision Research, Vol. 43, pp. 1047-1060,
2003.
21. Martinez, A.M., Yang, M-H. & Kriegman D.J. Introduction to Face Recognition, Computer
Vision and Image Understanding, Vol. 91, No. 1/2, pp. 1-5, 2003.
22. Martinez, A.M., Recognizing Imprecisely Localized, Partially Occluded and Expression Variant
Faces from a Single Sample per Class, IEEE Transactions on Pattern Analysis and Machine
Intelligence, Vol. 32, No. 6, pp. 748-763, 2002.
23. Martinez, A.M & Vitria, J., Clustering in Image Space for Place Recognition and Visual
Annotations for Human-robot Interaction, IEEE Transactions on Systems, Man and Cybernetics
B, Vol. 31, No. 5, pp. 669-682, 2001.
24. Martinez, A.M. & Kak, A.C., PCA versus LDA, IEEE Transactions on Pattern Analysis and
Machine Intelligence, Vol. 23, No. 2, pp. 228-233, 2001.
25. Martinez, A.M. & Vitria, J., Learning Mixture Models Using a Genetic Version of the EM
Algorithm, Pattern Recognition Letters 21, 759-769, 2000.
26. Martinez, A.M. & Serra, J.R., A New Approach to Object-Related Image Retrieval, Journal of
Visual Languages and Computing Vol.11, No. 3, pp. 345-363, 2000.
BOOK CHAPTERS
27. Martinez, A.M., Face Recognition, Overview, Encyclopedia of Biometrics, Springer, 2009.
28. Hamsici, O.C. & Martinez, A.M., Face Recognition, Component-based, Encyclopedia of
Biometrics, Springer, 2009.
29. Neth, D. & Martinez, A.M., A Biologically Inspired Model for the Simultaneous Recognition of
Identity and Expression, Biometrics: Theory, Methods, and Applications (Eds. N.V. Boulgouris,
E. Micheli-Tzanakou & K.N. Plataniotis), Wiley, 2009.
30. Martinez, A.M. & Zhang, Y., Subset Modeling of Face Localization Error, Occlusion, and
Expression, In Face Processing: Advance Modeling and Methods (edited by R. Chellappa & W.
Zhao), Academic Press, 2005.
31. Wilbur, R.B. & Martinez, A.M., Physical Correlates of Prosodic Structure in American Sign
Language, In Chicago Linguistic Society, Vol. 38, 2002.
32. Martinez, A.M. & Vitria, J., Dimensionality Reduction for Face Recognition, In Advances in
Visual Form Analysis, C.Arcelli, L.P. Cordella and G.S. di Baja Eds., World Scientific, 1997.
33. Martinez, A.M. & Vitria, J., Designing and Implementing Real Walking Agents Using Virtual
Environments, In Applications of Artificial Intelligence, N.J. Manede and C. Pietro-Ferreira,
Eds., Scitec Publications Ltd., 1996.
CONFERENCE PUBLICATIONS
34. You, D. & Martinez, A.M., Bayes Optimal Kernel Discriminant Analysis, In Proceedings of
IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco (CA), 2010.
35. Hamsici, O.C. & Martinez, A.M., Active Appearance Models with Rotation Invariant Kernels,
In Proceedings of IEEE International Conference on Computer Vision (ICCV), Kyoto (Japan),
2009.
36. Jia, H. & Martinez, A.M., Support Vector Machines in Face Recognition with Occlusions, In
Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), Miami (FL), 2009.
[NSF travel award.]
37. Jia, H. & Martinez, A.M., Face Recognition with Occlusions in the Training and Testing Sets,
In Proceedings of IEEE International Conference of Automatic Face and Gesture Recognition
(FG), Amsterdam (The Netherlands), September 2008.
38. Ding, L. & Martinez, A.M., Precise Detailed Detection of Faces and Facial Features, In
Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR), Anchorage (AK), 2008.
39. Hamsici, O.C. & Martinez, A.M., Spherical-Homoscedastic Shapes, In Proceedings of IEEE
International Conference on Computer Vision (ICCV), Rio de Janeiro (Brazil), 2007.
40. Ding, L. & Martinez, A.M., Recovering the Linguistic Components of the Manual Signs in
American Sign Language, In Proceedings of the IEEE International Conference on Advanced
Video and Signal-based Surveillance, London (UK), 2007.
41. Hamsici, O.C. & Martinez, A.M., Sparse Kernels for Bayes Optimal Discriminant Analysis, In
Proceedings of the IEEE Computer Vision and Pattern Recognition, Workshop (CVPR),
Minneapolis (MN), 2007. [Best paper award.]
42. Zhu, M. & Martinez, A.M., Selecting Principal Components in a Two-Stage LDA Algorithm,
In Proceedings of the IEEE Computer Vision and Pattern Recognition Conference (CVPR), New
York (NY), 2006.
43. Ding, L. & Martinez, A.M., Three-dimensional Reconstruction of Shape and Motion for the
Analysis of American Sign Language, In Proceedings of the IEEE Computer Vision and Pattern
Recognition, Workshop (CVPR), New York (NY), 2006.
44. Fortuna, J. & Martinez, A.M., A Blind Source Separation Approach to Structure from Motion,
Third International Symposium on 3D Data Processing, Visualization and Transmission, Chapel
Hill (NC), 2006.
45. Jia, H., Fortuna, J. & Martinez, A.M. Perturbation Estimation of the Subspaces for Structure
from Motion with Noisy and Missing Data, Third International Symposium on 3D Data
Processing, Visualization and Transmission, Chapel Hill (NC), 2006. [NSF travel award.]
46. Hamsici, O.C. & Martinez, A.M., Evaluation of the Modeling of Local Areas and Errors of
Localization in FRGC 05, In Proceedings of the IEEE Workshop on Face Recognition Grand
Challenge Experiments, San Diego (CA), 2005.
47. Kim, Y., Martinez, A.M. & Kak, A.C., A Local Approach for Robust Optical Flow Estimation
under Varying Illumination, In Proceedings of the British Machine Vision Conference (BMVC),
London (UK), 2004.
48. Zhang, Y. & Martinez, A.M. Recognition of Expression Variant Faces Using Weighted
Subspaces, In Proceedings of the International Conference on Pattern Recognition (ICPR),
Cambridge (UK), 2004.
49. Zhu, M. & Martinez, A.M. Optimal Subclass Discovery for Discriminant Analysis, In
Proceedings of the IEEE Computer Vision and Pattern Recognition, Workshop (CVPR),
Washington D.C. (USA), 2004.
50. Zhang, Y. & Martinez, A.M. From Static to Video: Face Recognition Using a Probabilistic
Approach, In Proceedings of the IEEE Computer Vision and Pattern Recognition, Workshop
(CVPR), Washington D.C. (USA), 2004.
51. Martinez, A.M., Recognizing Expression Variant Faces from a Single Sample Image per Class,
In Proceedings of the IEEE Computer Vision and Pattern Recognition (CVPR), Madison (USA),
2003.
52. Zhu, M., Martinez, A.M. & Tan, H., Template-based Recognition of Static Sitting Postures, In
Proceedings of the IEEE Computer Vision and Pattern Recognition, Workshop (CVPR), Madison
(USA), 2003.
53. Martinez, A.M., Wilbur, R.W., Shay, R. & Kak, A.C., Purdue ASL Database for Automatic
Recognition of American Sign Language, In Proceedings of the IEEE International Conference
on Multimodal Interfaces (ICMI), Pittsburgh (USA), 2002.
54. Martinez, A.M., Recognition of Partially Occluded and/or Imprecisely Localized Faces Using a
Probabilistic Approach, In Proceedings of the IEEE Computer Vision and Pattern Recognition
(CVPR), Vol. I, pp. 712-717, Hilton-Head Island (USA), 2000.
55. Martinez, A.M., Semantic Access of Frontal Face Images, In Proceedings of IEEE Workshop
on Content-Based Access of Images and Video Libraries, pp. 55-59, Hilton-Head Island (USA),
2000.
56. Martinez, A.M. & Serra, J.R., Semantic Access to a Database of Images: An approach to object-
related image retrieval, In Proceedings of IEEE Multimedia Computing and Systems (ICMCS),
Vol. I, pp. 624-629, Florence (Italy), 1999.
57. Martinez, A.M., Face Image Retrieval Using HMMs, In Proceedings of IEEE Workshop on
Content-Based Access of Images and Video Libraries, pp. 35-39, Fort Collins (USA), 1999.
58. Martinez, A.M., Recognition of Partially Occluded Faces, In Proceedings of Sony Research
Forum, Tokyo (Japan), 1999.
59. Martinez, A.M. & Vitria, J., From Visual Scanning to Object Recognition, In Proceedings of
SNRFAI Symposium on Recognition of Form and Analysis of Images, Barcelona (Spain), 1997.
60. Martinez, A.M., Gonzales, S., Vitria, J. & Lopez-Krahe, J., NAT: A robot that recognizes
offices, In Proceedings of the Conference of the Spanish Association for Artificial Intelligence
(CAEPIA), Malaga (Spain), 1997.
61. Martinez, A.M., Vitria, J. & Lopez-Krahe, J., Visual Recognition of Surroundings: A robot that
knows where it is, Intelligence Artificielle et Complexit, Paris (France), 1997.
62. Martinez, A.M. & Vitria, J., Designing and Implementing Real Walking Agents Using Virtual
Environments, In Workshop on Applications of Artificial Intelligence to Robotics and Visual
Systems, Madeira (Portugal), 1995.
63. Avellana, N., et al., A Configurable Massively Parallel Neuroemulator System, In Proceedings
of Eurochip, Fifth European Workshop on VLSI Design, Dresden (Germany), 1994.
REFEREED ABSTRACTS
64. Martinez, A.M. & Du, S., How fast can we recognize facial expressions of emotion?, Meeting
of the Vision Science Society (in Journal of Vision), Naples (FL), 2010.
65. Du, S. & Martinez, A.M., Image size reveals perception biases of similarity among facial
expressions of emotion, Meeting of the Vision Science Society (in Journal of Vision), Naples
(FL), 2010.
66. Wilbraham, D., Martinez, A.M. & Todd, J.T., Exploring the Nature of the Multidimensional
Face Space, Meeting of the Vision Science Society (in Journal of Vision), Naples (FL), 2009.
67. Martinez, A.M. & Neth, D., Emotion Perception in Neutral Expressions, Meeting of the Vision
Science Society (in Journal of Vision), Naples (FL), 2008.
68. Wilbraham, D., Christensen, J.C., Todd, J.T. & Martinez, A.M., The Effect of Homeomorphic
Image Transformations on Face Matching Performance, Meeting of the Vision Science Society
(in Journal of Vision), Naples (FL), 2008.
69. Martinez, A.M. & Neth, D., Face Configuration Biases the Perception of Facial Expressions,
Meeting of the Vision Science Society (in Journal of Vision), Sarasota (FL), 2007.
70. Wilbraham, D., Christensen, J., Todd, J.T. & Martinez, A.M., Human Face Matching
Performance Is Robust to Task-Irrelevant Image Changes, Meeting of the Vision Science Society
(in Journal of Vision), Sarasota (FL), 2007.
71. Martinez, A.M., Wilbraham, D., Todd, J.T. & Christensen, T., Can low level image differences
account for face discrimination performance? Meeting of the Vision Science Society (in Journal
of Vision), Sarasota (FL), 2006.
72. Wilbraham, D., Martinez, A.M. & Todd, J.T., The effects of illumination and expression
changes on the recognition of human faces, Meeting of the Vision Science Society (in Journal of
Vision), Sarasota (FL), 2006.
73. Wilbur, R.B. & Martinez, A.M., Physical Correlates of Prosodic Structure in ASL, Annual
Meeting of the Chicago Linguistic Society, Chicago (USA), 2002.
74. Martinez, A.M. Recognition in Early Attention, In Proceedings of European Conference on
Visual Perception (in Perception, Supplements), Trieste (Italy), 1999.
75. Martinez, A.M. & Vitria, J., A Development Platform for Autonomous Agents, In Practice and
Future of Autonomous Agents, ASI-AA, Verita (Switzerland), 1995.
EDITED PROCEEDINGS
76. Martinez, A.M. & Davis, L.S., Eds., 2nd IEEE Workshop on Vision for Human-Computer
Interaction, 2006.
77. Gorodnichy, D. & Martinez, A.M., Eds., 2nd IEEE Workshop on Face Processing in Video, 2005.
78. Martinez, A.M. & Hong, T., Eds., IEEE Workshop on Computer Vision and Pattern Recognition
for Human-Computer Interaction, 2003.
OTHER RELEVANT PUBLICATIONS
79. Martinez, A.M. & Benavente, R., The AR-face Database, CVC Technical Report #24, June
1998.
DATABASES
The AR-Face Database:
This database of face images is one of the most complete datasets of frontal face images developed to
date. The AR database is publicly available for research purposes at no cost. To date, this database
has been downloaded by more than 2,000 research groups around the world. The database and the
Technical Report that describes it have been cited in more than 1,000 scientific publications since it
was first released in 1998. A Google search on face database shows the AR face database webpage
as the first (top) site on the net.
HTTP: http://www.ece.osu.edu/~aleix/ARdatabase.html
Purdue ASL (American Sign Language) Database:
This new database collects a set of videos of basic motions, hand-shapes and narratives recorded from
a total of 14 ASL native signers. The database consists of 2576 videos (184 videos/signer). The
narratives are of at least 3 sentences in sequence so that syntactic, phonological and prosodic analysis
can be conducted. These short narratives also include various types of nonmanuals (i.e., linguistically
meaningful facial expressions). This database is available to the research community.
HTTP: http://www.ece.osu.edu/~aleix/ASLdatabase.htm
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