[資訊] CfP: IEEE TIFS Special Issue
CALL FOR PAPERS
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Special Issue on Facial Biometrics in the Wild
Guest Editors
- Aly A. Farag, University of Louisville (aly.farag@louisville.edu)
- Bir Bhanu, University of California, Riverside (bhanu@cris.ucr.edu)
- Edwin Hancock, University of York, UK (erh@cs.york.ac.uk)
- Gerard Medioni, University of Southern California (medioni@usc.edu)
- Jie Yang, Shanghai Jiaotong University, China (jieyang@sjtu.edu.cn)
Face recognition is an established field of machine learning and has
progressed for over three decades in terms of theory, algorithms and
applications. While surveillance systems are in common practice and
close-range facial recognition at entry points exist, the field has
progressed beyond still image recognition in controlled imaging
environments. Facial recognition in the wild connotes general face
recognition from still and video imaging, unabated by age, position,
illumination and expression (A-PIE) of individuals. Facial recognition in
that sense of generality crosses boundaries of applications from security
to education and various man-machine interfaces. This special issue will
address the latest developments in age models, illumination models,
pose-invariant recognition, and the role of expression understanding in
face recognition. Both still and video-based imaging are considered, and
partial information from either modality is of interest. Hybrid methods
(still + video) are of particular interest, and fusion methodologies that
handle uncertain information, occlusion and cross-age variations are
strongly encouraged. This special issue will focus on the theoretical
foundation of facial information modeling and analysis, novel algorithms
and systems, and multidisciplinary perspectives and applications of
facial biometrics.
These topics, and related subject matters, will be categorized into four
broad categories:
- Facial Information Modeling: Illumination; Facial Features; Pose
Invariance; Age Modeling; Expression Modeling & Synthesis
- Man-Machine Interface for Facial Biometrics: Emotion Models; Affective
Models; State of mind; detection and analysis; Facial biometric-driven
robotics and smart systems; Facial readings for special needs
- Performance Evaluation of Facial Biometrics Methodologies: Performance
measures of facial detection; Performance measures of facial features for
recognition; Overall performance measures; A-PIE overall performance
measures; Performance measures with open environment facial biometrics.
- Facial Biometrics Systems: Single camera systems (single and multiple
object); Video-based facial tracking; Face recognition at a distance;
Facial biometrics smart systems and tele-presence; Mobile facial
biometric systems; Person re-identification; Super-resolution and low
resolution facial biometric systems.
Submission Procedure:
Manuscripts are to be submitted according to the Information for Authors
at
http://www.signalprocessingsociety.org/publications/periodicals/forensics/forensics-authors-info/
using the IEEE online manuscript system, Manuscript Central. Papers must
not have appeared or be under review elsewhere. Manuscripts by the guest
editors submitted to this SI will be handled by the EIC of IEEE-TIFS.
Schedule:
Submission deadline: February 15, 2014
First Review: June 1, 2014
Revisions Due: July 15, 2014
Final Decision: September 1, 2014
Final manuscript due: September 30, 2014
Tentative publication date: December 1, 2014
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