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Unconstrained Biometrics: Advances and Trends
A Special Track of the 6th International Symposium on Visual Computing
(ISVC10,http://www.isvc.net)


Scope:

          Some of the biological traits used to perform biometric
          recognition support contactless data acquisition and can be
          acquired covertly. Thus, at least in theory, the subsequent
          biometric recognition procedure can be performed without
          subjects’ knowledge and in uncontrolled scenarios. The
          feasibility of this type of recognition has received
          increasing attention and is of particular interest in visual
          surveillance, computer forensics, threat assessment, and
          other security applications. Though a growing number of
          researchers are involved in the development of biometric
          recognition systems that can operate in unconstrained
          conditions, many problems remain to be solved, including the
          design of techniques to handle varying illumination sources,
          changes in poses and distances, or blurred and low quality
          data resulting from such acquisition conditions. The
          development of techniques effective in such challenging
          situations requires vigorous research efforts. This special
          track is particularly interested in emerging strategies to
          perform biometric recognition under uncontrolled data
          acquisition conditions that can be ideally used in covert
          applications.

Topics:

The topics of interest include but are not limited to the following areas:

- Less controlled / covert data acquisition frameworks. 
- Segmentation of poor quality biometric data. 
- Biometric data quality assessment. 
- Normalization of poor quality biometric data. 
- Contactless biometric recognition strategies (iris/gait/ear/face/body thermal...). 
- Biometric recognition robustness to data resolution, illumination, distance, pose, motion, occlusions. 
- Multispectral biometric recognition. 
- Multimodal biometrics; fusion at different levels. 
- High confidence automatic surveillance. 
- Announcement of challenging biometric data sets. 
- Biometric recognition benchmarks for unconstrained data acquisition environments.

Paper Submission Procedure:

Papers submitted to ISVC 2010 Special Track must not have been
previously published and must not be currently under consideration for
publication elsewhere. Manuscripts should be submitted in camera-ready
format and should not exceed 12 pages, including figures and tables
(see http://www.isvc.net for
details). All papers accepted will appear in the symposium proceedings
which will be published by Springer-Verlag in the Lecture Notes in
Computer Science (LNCS) series.

Important Dates: 

Paper submissions  July 12, 2010 
Notification of acceptance  August 31, 2010
Final camera ready paper  September 15, 2010
Advance Registration  September 15, 2010
ISVC10 Symposium  November 29 - December 1, 2010


Organizers: 

Hugo Proença, University of Beira Interior, Covilhã, Portugal; hugomcp@di.ubi.pt.
Yingzi Du, Indiana University-Purdue University Indianapolis, Indianapolis, U.S.A; yidu@iupui.edu.
Jacob Scharcanski, Federal University of Rio Grande do Sul Porto Alegre, Brazil; jacobs@inf.ufrgs.br.
Arun Ross, West Virginia University, U.S.A.; Arun.Ross@mail.wvu.edu.
Gholamreza Amayeh, EyeCom Corporation, U.S.A; amayeh@cse.unr.edu.


Committee:

Adalberto Schuck Júnior, Federal University of Rio Grande do Sul, Brazil. 
Bogdan Kwolek, Rzeszów University of Technology, Poland.
Cláudio R. Jung, Federal University of Rio Grande do Sul, Brazil. 
Javad Alirezaie, Ryerson University, Canada.
Janusz Konrad, Boston University, U.S.A.
Jia Kevin, International Game Technologies, U.S.A.
Joceli Meyer, Federal University of Santa Catarina, Brazil.
Luís A. Alexandre, University of Beira Interior, Portugal.
Luís Soares, ISCTE, Portugal.
Miguel Coimbra, University of Porto, Portugal.
Paul Fieguth, University of Waterloo, Canada.
Qinghan Xiao, Defense Research and Development Canada, Canada.
Robert Ives, United States Naval Academy, U.S.A. 
Samir Tamer, Ingersoll Rand Security Technologies, U.S.A.