Automatic Face Recognition: Challenges and Opportunities

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               ***Joint Seminar***
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The Hong Kong University of Science & Technology

Department of Computer Science and Engineering
Center of Visual Computing and Image Science
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Speaker:	Professor Anil K. JAIN
		University Distinguished Professor
		Michigan State University

Title:		"Automatic Face Recognition: Challenges and
		 Opportunities"

Date:		Friday, 10 December 2010

Time:		3:00pm - 4:00pm

Venue:		Lecture Theater F (near lifts 25/26), HKUST

Abstract:

Automatic face recognition has received increased attention over the past
ten years due to its important role in addressing a variety of security
concerns, namely, access control to secure areas, de-duplication of
passports and driver licenses and identification of suspects in
surveillance videos. While there has been a substantial improvement in the
performance of face recognition systems, they still do not meet the
expectations and requirements of many forensics, law enforcement and
commercial applications. The difficulties in automatic face recognition
arise from the large intra-class variability in the face images due to
many intrinsic (expression, aging) and extrinsic variations (pose, ambient
illumination). In other words, different face images of the same person
acquired at different times and under different imaging conditions can
have substantially different appearances that cannot be correctly matched
by state of the art techniques. The challenge is to a design salient
feature extractor and a robust matcher. This talk will address a number of
ongoing research projects in my lab that illustrate the importance and
challenges on face recognition. These include (i) matching face sketch to
photo, (ii) age-invariant face recognition, (iii) face recognition at a
distance, (iv) heterogeneous face recognition, and (iv)  using micro-level
features (face marks).


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Biography:

Anil K. Jain is a University Distinguished Professor in the Department of
Computer Science at Michigan State University. His research interests
include pattern recognition, computer vision and biometrics. He was
awarded Guggenheim fellowship, Humboldt Research award, Fulbright
fellowship, IEEE Computer Society Technical Achievement award, IEEE W.
Wallace McDowell award, IAPR King-Sun Fu Prize and IEEE ICDM Research
Contribution award. He also received the best paper awards from the IEEE
Trans. Neural Networks and the Pattern Recognition journal. He served as
the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine
Intelligence and is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
Holder of six patents in the area of fingerprints, he is the author of a
number of books, including Handbook of Biometrics, Handbook of
Multibiometrics, Handbook of Face Recognition, Handbook of Fingerprint
Recognition and Algorithms for Clustering Data. He served on The National
Academies committees on Whither Biometrics and Improvised Explosive
Devices (IED) and was a member of the Defense Science Board.