Spring 2002
CIS 6930-002 Image Based Biometrics
Time: 12:30pm to 1:45pm, Mondays and Wednesdays
Office Hours: 2pm to 3pm (Monday and Wednesday) (or any other time mutually
agreed upon)
Location: ENG 003 (First of classes), ENB 313 (Rest of the semester)
Facilitator: Sudeep Sarkar
Goal: To investigate pattern recognition and computer vision techniques that can be used to identify humans from image data, be it video sequences or still frames. What are the limitations of these techniques? How do you evaluate their effectiveness? Can information from different imaging modalities be combined to arrive at better performance? Can you identify humans at a distance? What are the ethical implications of this technology?
Impact on society: This technology has obvious impact on automated surveillance tasks. It can also be used to authenticate person to allow access of information remotely, e.g. web based financial transactions, automated teller machines, access to secure area or equipment, and so on.
Pre-reqs: Digitial Image Processing (CAP 5400) or Computer Vision (CAP 6415)
Scoring of Student Performance will be based on progress on project, presentations made to the class, and class participation. There will be no formal exams. There might be a few quizes. Tentatively:
· 45% project (30% report + 15% presentation),
· 15% discussion,
· 20% Core technique notes,
· 10% class participation,
· 10% worksheets, project status reporting, project proposal etc.
Textbook: There is no standard textbook. Relevant papers will be provided or made available. A couple of reference texts: (i) Biometrics (A Jain, R Bolle, and A Pankanti Eds) (ii) Pattern Classification (Duda, Hart, and Stork)
Some Relevant Links
The National Biometrics Consortium, which serves as the US Government's focal point for research, development, test, evaluation, and application of biometric-based personal identification/verification technology.
The DARPA Human ID at a Distance program
Data Sets Available
- Gait data of about 75 persons from 2 surfaces, 2 viewpoints, and 2 shoe types
- Face images with different illumination conditions and facial expressions
- IR face images with different illumination conditions and facial expressions
- Ear images
- Palm images
Deadlines
- January 23: Project proposal due (2 pages). It should include problem definition, data set description, approach to be taken, and timeline in terms of goals to be achieved on a weekly basis.
- January 28: Select topic papers (5) to review and present.
- March 25 to April 8: Topic discussions (1/2 class period)
- April 10 to April 22: Project presentation (30 minute presentations)
- Project presentation slides are due one week before your presentation. (50% penalty)
Tentative Course Schedule
|
WEEK |
TOPICS |
Notes |
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Jan 7, Jan 9 |
Intro to Biometrics, |
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Jan 14, Jan 16 |
Gait baseline algorithm and performances, CMC, ROC |
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Jan 21, Jan 23 |
MLK Day, |
Project Proposal due on 1/23 |
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Jan 28, Jan 30 |
Core Technique 1: Bayesian decision theory |
Topic paper list due on 1/28 |
|
Feb 4, Feb 6 |
Core Technique 2: Discriminant surfaces, Multivariate Gaussian densities |
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Feb 11, Feb 13 |
Core Technique 3: Maximum likelihood estimation |
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Feb 18, Feb 20 |
Core Technique 3: MLE with mixture models, Core Technique 4: Expected Maximization |
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Feb 25, Feb 27 |
Core Technique 4: Expected Maximization |
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Mar 4, Mar 6 |
Core Technique 5: Hidden Markov Models |
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Mar 11, Mar 13 |
Spring Break |
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Mar 18 |
Core Technique 6: Bayesian networks |
Core technique – first draft due |
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March 20 |
Project Updates (5 minutes each, 3 slides atmost: what, how, any results, plans) |
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Mar 25 |
Topic Discussions: Fingerprint, Hand (Zongyi) |
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Mar 27 |
Topic Discussions: Iris (Ayush), Retina (Sorin) |
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Apr 1 |
Topic Discussions: Infrared (Lakshmi), Gait (Isidro) |
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Apr 3 |
Topic Discussions: Ear (Yan), Face |
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Apr 8, |
Topic Discussions: Multimodal biometrics (Paddu) |
Core technique – revised version due |
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Apr 10 |
Project Presentations: Isidro, Zongyi |
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Apr 15 |
Project Presentations: Ayush, Sorin |
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Apr 17 |
Project Presentations: Yan, Yong |
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Apr 22, |
Project Presentations: Paddu, Lakshmi |
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Apr 24 |
Ethical Implication of Biometric Technology |
Project Final Report Due |