CVPR 2017 Biometrics Workshop

With a very security conscious society, biometrics based authentication and identification have become center of focus for many important applications as it is believed that biometrics can provide accurate and reliable identification. Biometrics research and technology continue to mature rapidly, driven by pressing industrial and government needs and supported by industrial and government funding. As the number and types of biometrics architectures and sensors increases, the need to disseminate research results increases as well. This workshop is intended to be positioned at the frontier of biometrics research and showcase the most excellent and advanced work underway at academic and private research organizations as well as government labs.

Many of the applications require higher level of accuracy performance not feasible with a single biometrics today. Additionally, it is also believed that fusing multiple biometrics will also improve wider coverage of population who may not be able to provide a single biometrics and also improve security of the systems in terms of spoof attacks. This workshop will address all aspects of research issues in different modes and levels of fusion of biometrics samples, sensing modes and modalities with a sole goal of improving performance of biometrics. Theoretical studies on sensor fusion techniques applied to biometrics authentication, recognition and performance are encouraged. The topics of interest are:

Overall Meeting Sponsors

General Chair: Bir Bhanu (University of California, Riverside, bbhanu@ucr.edu)

Program Chair: Ajay Kumar (The Hong Kong Polytechnic University, Ajay.Kumar@polyu.edu.hk)

• Kevin Bowyer, Notre Dame University, USA
• Josef Bigun, Halmstad University, Sweden
• Rama Chellappa, University of Maryland, USA
• Jiwen Lu, Tsinghua University, China
• Amit Roy-Chowdhury, University of California, Riverside, USA
• Xiaogang Wang, Chinese University of Hong Kong, Hong Kong
• Patrick Grother, NIST, USA
• Jaihie Kim, Yonsei University, South Korea
• Josef Kittler, University of Surrey, UK
• Allen Yang, UC Berkeley, USA
• B.V.K. Vijaya Kumar, Carnegie Mellon University, USA
• Jonathon Phillips, NIST, USA
• Arun Ross, Michigan State University, USA
• Ioannis Kakadiaris, University of Houston, USA
• Dijana Petrovska, Telecom SudParis, France
• Tieniu Tan, NLPR, China
• Terry Boult, University of Colorado at Colorado Springs, USA
• Yury Vizilter, State Research Institute of Aviation Systems (GosNIIAS), Russia
• Patrizio Campisi, University of Roma Tre, Italy
• Pong C Yuen, Hong Kong Baptist University, Hong Kong
• Le An, University of North Carolina, USA
• Stan Li, Institute of Automation, Chinese Academy of Sciences, China
• Fabio Roli,University of Cagliari, Italy
• Karthik Nandakumar, IBM Research Collaboratory, Singapore
• Christoph Busch, Fraunhofer Institute, Germany
• Richa Singh, Indraprastha Institute of Information Technology Delhi, India
• Gang Pan, Zhejiang University, China

Paper submission: March 31, 2017 Decisions: May 12, 2017 Camera ready papers due: May 18, 2017

Workshop Date: July 21, 2017

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Invited Talk

Title: 3D Morphable Face Model as Prior Knowledge for Face Analysis and Recognition Presenter: Josef Kittler Centre for Vision, Speech and Signal Processing Department of Electronic Engineering. University of Surrey, Guildford, UK

Panel Session

Topic: Key Problems in Biometrics for the next Five Years Panel Chair: Jonathon Phillips National Institute of Standards and Technology Gaithersburg, USA Panelists Kevin Bowyer (University of Notre Dame, USA) Venu Govindaraju (University at Buffalo, USA) Gang Hua (Microsoft Research Asia, Beijing, China) Mayank Vatsa (IIIT Delhi, India)

1. All the submissions will be subjected to double-blind review process. Therefore author names, affiliations, email addresses, personal acknowledgements, etc. should be removed from the paper. Please use the submission template [Latex] [MS-Word].
2. The submissions can be up to 8 pages (excluding references) during the review process.
3. All the papers must be submitted in IEEE format using the templates provided. Submitted papers should not have been published, accepted or under review elsewhere.
4. Authors are required by the IEEE to transfer copyrights for any papers to be published in the conference proceedings. This is performed at the time when the camera ready version is submitted for production. If a paper is withdrawn from the proceedings, copyright gets reverted to the authors.
5. All the papers should be submitted using CMT at https://cmt.research.microsoft.com/CVPRW2017

* The reviews for all the papers submitted for the CVPR 2017 Biometrics Workshop can be accessed from CMT on May 13, 2017.

** Details for the camera ready submission and instructions will be sent by email very soon.

Acceptance Rate: 39.62% (based on 53 reviewed papers and 21 papers finally accepted for the presentation).

Highest Impact Award:

• Samarth Bharadwaj, Tejas I. Dhamecha, Mayank Vatsa, and Richa Singh for the paper titled “Computationally Efficient Face Spoofing Detection with Motion Magnification” which was presented during the CVPR 2013 Biometrics Workshop held in Columbus, Ohio.

CVPR 2015 Biometrics Workshop Best Paper Award:

• Claudio Ferrari, Giuseppe Lisanti, Stefano Berretti, Alberto Del Bimbo for the paper “Investigating Nuisance Factors in Face Recognition with DCNN Representation” which was presented on July 21st 2017 during CVPR 2017 Biometrics Workshop.

Hawaii Convention Center (weblink https://www.meethawaii.com/convention-center/) Honolulu, Hawaii, USA

Bir Bhanu Email: bbhanu@ucr.edu

Ajay Kumar Email: Ajay.Kumar@polyu.edu.hk