View source for SI BWild 2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild

{{Event 
|Acronym=SI BWild  2017 
|Title=SI BWild   2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild 
|Type=Conference 
|Field=machine learning
|Start date=2017/05/31
|End date=2017/06/30 
|City=Europe 
|Country=undefined
|Homepage=https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/special-issue-on-biometrics-in-the-wild
|Submission deadline=2017/09/15
}}
** CALL FOR PAPERS **

Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild

** Introduction **
Biometric recognition from data captured in unconstrained settings, commonly
referred to as biometric recognition in the wild, represents a challenging and
highly active area of research. The interest in this area is fueled by the
numerous application domains that deal with unconstrained data acquisition
conditions such as forensics, surveillance, social media, consumer electronics
or border control. While the existing biometric technology has matured to a
point, where excellent performance can be achieved for various tasks in ideal
laboratory-like settings, many problems related to in-the-wild scenarios still
require further research and novel ideas. The goal of this special issue is to
present the most advanced work related to biometric recognition in unconstrained
settings and introduce novel solutions to open biometrics-related problems.
Submitted papers should make a significant contribution in terms of theoretical
findings or empirical observations, demonstrate improvements over the existing
state-of-the-art and use the most challenging datasets available.

The special issue builds on the Biometrics-in-the-Wild (BWild) workshop series
organized as part of IEEE FG 2015 and IEEE FG 2017. The special issue is open to
all, but submissions from past BWild participants are especially welcome.

** Topics of Interest **
We invite high-quality papers on topics related to biometric recognition in the
wild, including, but not limited to:
• Region of interest detection (alignment, landmarking) in the wild,
• Soft biometrics in the wild,
• Context-aware techniques for biometric detection and recognition,
• Novel normalization techniques,
• Multi-modal biometrics in the wild,
• Biometric recognition in the wild,
• Biometrics from facial behavior (e.g., eye movement, facial expressions,
micro-expressions),
• Biometrics based on facial dynamics,
• Novel databases and performance benchmarks,
• Ethical issues, privacy protection and de-identification,
• Spoofing and countermeasures,
• Deep learning approaches for unconstrained biometric recognition,
• Related applications, especially mobile.

** Important Dates **
Submission deadline: 15 September, 2017
Notifications to authors: 31 February, 2018
Target publication date: April, 2018

** Guest Editors **
Bir Bhanu, University of California, Riverside, United States
Abdenour Hadid, University of Oulu, Finland
Qiang Ji, Rensselaer Polytechnic Institute, United States
Mark Nixon, University of Southampton, United Kingdom
Vitomir Štruc, University of Ljubljana, Slovenia

** Advisory Editors **
Rama Chellappa, University of Maryland, United States
Josef Kittler, University of Surrey, United Kingdom
Acronym	SI BWild 2017 +
End date	June 30, 2017 +
Event type	Conference +
Has location city	Europe +
Has location country	Category:Undefined +
Homepage	https://www.journals.elsevier.com/image-and-vision-computing/call-for-papers/special-issue-on-biometrics-in-the-wild +
IsA	Event +
Start date	May 31, 2017 +
Submission deadline	September 15, 2017 +
Title	SI BWild 2017 : Image and Vision Computing (IVC) Special Issue on Biometrics in the Wild +