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: abqofr@r.postjobfree.com

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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