VISION-LIST digest 27.2 - [2/2]
Vislist Moderator
the steps in the submission sequence.
Submission of a manuscript implies that it is the authors’ original
unpublished work and is not being submitted for
possible publication elsewhere.
Manuscripts will be assigned to international reviewers and the review
processes will be managed by the Guest Editors
working with the Editor-in-Chief, Professor K.D. Baker. For any
clarification please contact
Dr. Bogdan Raducanu, Prof. Jordi Vitrià or Prof. Ales Leonardis at the
addresses below.
IMPORTANT DATES
* Paper Submission deadline: 31 August 2008
* Approximate Decision Notification date: 30 November 2008
* Revised Paper Submission (if applicable): January, 2009
* Approximate Final Decision Notification: February, 2009
Tentative publication date: June 2009.
GUEST EDITORS
Dr. Bogdan Raducanu, Prof. Jordi Vitrià
Computer Vision Center, Edifici “O” – Campus UAB
08193 Bellaterra (Barcelona) SPAIN
Tel.: +34.93.581.1828, Fax: +34.93.581.1670
mailto:{bogdan,jordi}@cvc.uab.es
http://www.cvc.uab.es/~bogdan http://www.cvc.uab.es/~jordi
------------------------------
From: William Smith <wsm...@cs.york.ac.uk>
Subject: CFP : CVPR WS on 3D Face Processing - Anchorage, AL - 15MAR2008
Workshop on 3D Face Processing
To be held in conjunction with CVPR 2008
June 27th 2008, Anchorage, Alaska
Website: http://www.cs.york.ac.uk/3dfp
Contact: mailto:wsm...@cs.york.ac.uk
Chairs: Volker Blanz, Baback Moghaddam, Hanspeter Pfister, Dimitris
Samaras and William Smith
IMPORTANT DATES:
Paper submission: March 15th (after CVPR decisions)
Notification: April 15th
Camera ready: May 1st
CALL FOR PAPERS:
Estimating 3D face shape from one or more images is a longstanding goal
of computer vision. In the earliest work on shape-from-shading,
researchers applied their algorithms to face images with little success.
Advances during the last decade have seen the development of techniques
that offer robust performance on real world images. Meanwhile, advances
in structured light scanning have made high-end acquisition of 3D
structure and motion a reality, albeit in very controlled settings, thus
making statistical techniques attractive. A clear result to come from
this work is that processing 3D face shape in images requires techniques
that span a number of fields. These include statistical shape modelling,
non-linear optimisation, reflectance modelling, illumination estimation
and shape-from-shading.
These advances hold out the hope of estimating intrinsic properties of a
face from single images or video streams. This is clearly attractive in
the domain of face recognition where modelling appearance variation
caused by large changes in pose, illumination and expression remains a
key problem. Applications also lie in model acquisition for graphics
applications, retouching faces in images (for example adjusting
expressions or illumination conditions) or even exchanging faces between
images.
There is also a strong link between this work and one of the key
questions in psychological studies of human face processing, that of the
role played (if any) by 3D shape information. This has led to an
exchange of ideas between machine vision and psychology/neuropsychology
in this area which is of mutual benefit.
Topics of interest include, but are not limited to, the following:
* 3D morphable face models
* 2D+3D active appearance models
* Facial shape-from-shading and photometric stereo
* Stereo for face images
* Face/skin reflectance modelling
* Psychological or neuropsychological investigations into the role
3D information plays in face processing in humans
* Modelling variation in appearance due to 3D shape using spherical
harmonics, light fields etc
* Dynamic 3D face processing in video images, e.g. tracking,
modelling of expressions in 3D, use of motion capture data
* Real-time 3D face scanning from video
* Colour information for 3D face processing
* Structured light/Shape-from-X for face shape recovery
* Estimation of illumination or shadowing from images
* Data management for large 3D face data sets
* Matching of partial or deformed scans
* Fusion of multimodal face information, e.g. 3D scans, high-speed
video, high-resolution imaging
Applications of interest include:
* Facial shape estimation
* Recognition/classification using 3D information estimates from images
* Facial retouching, expression/texture transfer, relighting using
3D models
* Medical applications of 3D face modelling and facial expression
analysis
Submission Policy
Papers must describe high-quality, original research. By submitting a
manuscript to this workshop, authors assert that no paper substantially
similar in content has been submitted to another conference or workshop
during the review period.
------------------------------
From: Liang Wang <lww...@csse.unimelb.edu.au>
Subject: CFP : Call for chapter proposals on Behavioral Biometrics - 30APR2008
CALL FOR CHAPTER PROPOSALS
Proposal Submission Deadline: April 30, 2008
Behavioral Biometrics for Human Identification: Intelligent Applications
A Book Edited by Dr. Liang Wang, The University of Melbourne, Australia
Dr. Xin Geng, Deakin University, Australia
INTRODUCTION
Automatic biometrics recognition techniques are becoming increasingly
important in corporate and public security systems. The term
"biometrics" is derived from the Greek words bio (life) and metric (to
measure). There are two types of biometrics that can be used for the
purposes of human identification or verification: physical biometrics
and behavioral biometrics. Physical biometrics, such as fingerprint and
iris, have already been widely acknowledged and used in many real
applications. As a relatively new technology, behavioral biometrics help
verify a person's identity through some measurable activity patterns,
e.g., speaker recognition (i.e., analyzing vocal behavior), signature
recognition (i.e., analyzing signature dynamics), gait recognition
(i.e., analyzing walking patterns), keystroke dynamics (i.e., analyzing
keyboard typing patterns), mouse dynamics (i.e., analyzing mouse moving
patterns), etc.
OBJECTIVE OF THE BOOK
Previous books on biometrics mainly focus on physical biometric features
such as iris and fingerprint. However, behavioral biometrics has become
an emerging technology over recent years. The objective of this book is
to discuss typical behavioral biometrics and to collect the latest
advances in behavioral biometrics techniques including both theoretical
approaches and real applications. This edited book is expected to
provide researchers and practitioners a comprehensive understanding of
the start-of-the-art of behavioral biometrics techniques, potential
applications, successful practice, available resources, etc. The book
will serve as an important reference tool for researchers and
practitioners in biometrics recognition, a handbook for research
students and a repository for technologists.
TARGET AUDIENCE
The target audience of this book will be mainly composed of
professionals and researchers working in the field of various
disciplines, e.g. computer vision, pattern recognition, information
technique, psychology, image processing, artificial intelligence, etc.
In particular, this book will provide a comprehensive introduction to
the most recent research techniques in behavioral biometrics for
researchers. The book also serves as an important reference tool for
both researchers and practitioners working in biometrics recognition, a
handbook for research students and a repository for technologists. It is
also attractive to the managers of some organizations where there are
strong security needs.
Recommended topics include, but are not limited to, the following:
Review of behavioral biometrics techniques
Video-based dynamic face recognition
Facial expression activity based recognition
Gait recognition
Speaker recognition
Signature recognition
Keystroke dynamics recognition
Mouse dynamics recognition
Fusion of multiple behavioral biometrics
Other behavioral biometric features
Behavioral biometrics databases
Performance evaluation standard and methods
Behavioral biometrics system and applications
Open problems and potential solutions
Other relevant
SUBMISSION PROCEDURE
Researchers and practitioners are invited to submit /on or before *April
30, 2008*/, a 2-3 page chapter proposal clearly explaining the mission
and concerns of the proposed chapter, together with a tentative title
and chapter organization. Proposals will be accepted based on pertinence
criteria and topic balancing needs. Authors of accepted proposals will
be notified by */May 31, 2008/* about the status of their proposals and
sent chapter guidelines. Full chapters are expected to be submitted no
later than */August 31, 2008/*. All submitted chapters will be reviewed
on a double-blind review basis. The book is scheduled to be published by
IGI Global (formerly Idea Group Inc.), http://www.igi-global.com,
publisher of the IGI Publishing (formerly Idea Group Publishing),
Information Science Publishing, IRM Press, CyberTech Publishing,
Information Science Reference (formerly Idea Group Reference), and
Medical Information Science Reference imprints.
Inquiries and submissions can be forwarded *electronically* (Word
document) or by *mail* to:
Dr. Liang Wang
Department of Computer Science & Software Engineering
The University of Melbourne, Parkville, Vic 3010, Melbourne, Australia
Tel.: +61 3 8344 1364 . Fax: +61 3 9348 1184
mailto:lww...@csse.unimelb.edu.au
------------------------------
From: Anderson Rocha <anderso...@gmail.com>
Subject: CFP : 1st IEEE Intl WS on Vision of the Unseen - Alaska - 20MAR2008
First IEEE International Workitorial on Vision of the Unseen
In conjunction with CVPR, Anchorage, Alaska - US
June 23rd, 2008
http://www.liv.ic.unicamp.br/wvu
WVU 2008 Call for Papers
We are pleased to announce the First IEEE Workitorial on Vision of the
Unseen (WVU'08).
This unique event will engage the Vision Community in this challenging
area. WVU'08 is a combined tutorial and a workshop exploring the many
facets of vision and pattern recognition to 'see' what humans cannot. It
will be held in conjunction with CVPR in Anchorage, Alaska on June 23rd,
2008.
We invite you to submit results on one of the 2 classes of papers:
regular and competition. Regular papers comprise brand new and
unpublished results on one or more of the following topics
+ Steganography and Steganalysis
+ Forgery/manipulation detection
+ Sensor fingerprinting
+ Image authentication
+ Information Hiding
+ Algorithm fusion for the above topics
Competition papers comprise papers for the Unseen Challenge. Such papers
must explore the performance of previously published or new Steganalysis
algorithms on a challenge dataset (which we will provide).
All papers must follow the IEEE format style and have up to 6 pages,
with the option of purchasing up to 2 extra pages for $100 per page.
Finally, WVU'08 will present a Tutorial Session with the most recent
developments on the Vision of the Unseen.
IMPORTANT DATES
Regular papers
Submission: 3/20/08
Acceptance: 4/15/08
Camera Ready: 5/1/08
Competition papers
Competition papers
Submission: 3/20/08
Acceptance: 4/15/08
Camera Ready: 5/1/08
GENERAL CHAIRS
Siome Goldenstein, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brasil.
Terry Boult, University of Colorado at Colorado Springs
(UCCS), Colorado Springs, United States.
PROGRAM COMMITTEE
Anderson Rocha, Universidade Estadual de Campinas
(UNICAMP), Campinas, Brasil.
B. S. Manjunath, University of California
(UCSB), Santa Barbara, United States
Chad Heitzenrater, Air Force Research Laboratory
(AFRL), New York, United States.
------------------------------
From: "Hammoud, Riad" <riad.h...@delphi.com>
Subject: CFP : CVPR WS Object Tracking - Alaska - 15MAR2008
CAL L FOR PAP E R S -- IEEE CVPRW OTCBVS'08
http://www.vcipl.okstate.edu/otcbvs/08/
http://www.vcipl.okstate.edu/otcbvs/08/CFPOTCBVS08.pdf
Submission of full manuscripts: March 15, 2008.
5th IEEE InternationalWorkshop on
Object Tracking and Classification in and Beyond the Visible Spectrum
Anchorage, Alaska, USA JUNE 27, 2008
in conjunction with IEEE Conference on Computer Vision and Pattern Recognition 2008
History speaks for itself, and with four consecutive sell-out years, this
established workshop series, organized in conjunction with IEEE CVPR conference,
certainly has a history of which to be proud. Two special issues of prestigious
IJCV and CVIU Journals on highlighted topics of this workshop series have
been published recently, and a Springer book will appear soon.
Aims and Scope: The scope of Object Tracking and Classication in and Beyond
the Visible Spectrum workshop series (OTCBVS) encompasses many disciplines,
including visible, infrared, far infrared, millimeter wave, microwave,
radar, synthetic aperture radar, and electrooptical sensors as well as the
very dynamic topics of image processing, computer vision and pattern recognition.
It is a fertile area for growth in both research analysis and experimentation
and includes both civilian and military applications. The availability of
ever improving computer resources and continuing improvement in sensor performance
have given great impetus to this eld of research. This technology ”push”
has been balanced by a technology ”pull” resulting from increasing demand
from potential users of this technology including both military and civilian
entities as well as needs arising from the growing eld of homeland security.
This series of OTCBVS workshops creates connections between different communities
in the machine vision world ranging from public research institutes to private,
military, and medical laboratories. It brings together pioneering academic,
industrial and military researchers and engineers in the eld of computer
vision, image analysis, pattern recognition, signal processing, sensors,
and human-computer interaction.
Topics and Submission Guidelines: This fth IEEE Int'l Workshop on OTCBVS
solicits original contributions where nonvisible sensors from various domains
are employed. However, we also encourage the submission of high quality papers
that deal with object tracking and classi cation in the visible spectrum.
Comparative evaluation studies across the non-visible spectrum for a given
computer vision or pattern recognition task are also encouraged. An updated
benchmark/test dataset is available at:
http://www.cse.ohio-state.edu/otcbvs-bench/
The topics of interest include: Object/Target Detection/Tracking/Recognition/Classi
cation; Threat/Event recognition; Combining visible & non-visible signals;
Information fusion from disparate sensors; Multimodal Facial Recognition;
Night vision; Vision augmentation enabling system concepts and components;
Avionics systems with augmented vision, Automotive, Medical, Security and
Military Applications. The paper submission is due by 5pm March 15, 2008
EST. All papers must be submitted anonymously, throughout the website of
OTCBVS'08, and in-line with the standard IEEE CVPR paper format. More details
at: http://www.vcipl.okstate.edu/otcbvs/08/
Workshop Dates:
Submission of full manuscripts: March 15, 2008.
Noti cation to authors: April 14, 2008
Submission of revised manuscripts: April 28, 2008
Organizing and Program Committee
General Chairs: Riad I. Hammoud, Delphi E&S and LawrenceWolff, Equinox Corporation / Johns Hopkins University
Program Chair: Guoliang Fan, Oklahoma State University
Benchmark Chair: JamesW. Davis, Ohio State University
Program Committee: Besma Abidi, U of Tennessee, Knoxville, USA; Gregory Baratoff, SiemensVDO Automotive, Germany;
George Bebis, U of Nevada, Reno, USA; Bir Bhanu, U of California, Riverside, USA ; Patrick Bouthemy, INRIA/IRISA, France ;
Alberto Broggi, U di Parma, Italy ; James W. Davis, Ohio State U, USA ; Larry Davis, U of Maryland, MD, USA ; Guoliang Fan,
Oklahoma State U, USA ; Riad I. Hammoud, Delphi E&S, USA ; Katsushi Ikeuchi, IIS, U of Tokyo, JAPAN ; Robert McMillan,
U.S. Army Space and Missile Defense Command, USA ; Swarup Medasani, HRL Laboratories, CA, USA ; Gerard Medioni, U of S.
California, USA ; Nasser Nasrabadi, Army Research Lab, USA ; Barbara Lynn O'Kane, US Army Night Vision Lab, USA ; J.-M.
Odobez, U of Maine, FRANCE ; Ioannis Pavlidis, U of Houston, USA ; Ali Pezeshki, Princeton U, USA ; Fatih Porikli, Mitsubishi
MERL, USA ; Firooz Sadjadi, Lockheed Martin Corp, USA ; Andrea Salgian, The College of New Jersey, USA ; Diego Socolinsky,
Equinox Corporation, USA ; Mubarak Shah, U of Central Florida, USA ; Mohan Trivedi, U of California, San Diego, USA ; Nitin M.
Vaidya, Millivision Technologies, USA ; Lawrence B. Wolff, Johns Hopkins U, USA ; Djemel Ziou, U of Sherbrooke, Canada.
Sponsors: IEEE, Delphi Electronics & Safety, and Equinox Corporation
------------------------------
From: ml...@simone.neuro.kuleuven.be
Subject: CFP : IEEE ML for Signal Processing - Mexico - 05MAY2008
Call for papers
Submission Deadline: May 5, 2008
2008 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING
(Formerly the IEEE Workshop on Neural Networks for Signal Processing)
October 16-19, 2008 Cancun, Mexico
Fiesta Americana Condesa Cancun, http://www.fiestamericana.com
DEADLINES:
Submission of full paper: May 5, 2008
Notification of acceptance: June 16, 2008
Camera-ready paper and author registration: June 23, 2008
Advance registration before: July 1, 2008
The workshop will feature keynote addresses, technical presentations,
special sessions and tutorials organized in two themes that will be
included in the registration. Tutorials will take place on the afternoon
of 16 October, and the workshop will begin on 17 October. The two themes
for MLSP 2008 are Cognitive Sensing and Kernel Methods for Nonlinear
Signal Processing. Papers are solicited for, but not limited to, the
following areas:
Algorithms and Architectures:
Artificial neural networks, kernel methods, committee models, Gaussian
processes, independent component analysis, advanced (adaptive,
nonlinear) signal processing, (hidden) Markov models, Bayesian modeling,
parameter estimation, generalization, optimization, design algorithms.
Applications:
Speech processing, image processing (computer vision, OCR) medical
imaging, multimodal interactions, multi-channel processing, intelligent
multimedia and web processing, robotics, sonar and radar, biomedical
engineering, financial analysis, time series prediction, blind source
separation, data fusion, data mining, adaptive filtering,
communications, sensors, system identification, and other signal
processing and pattern recognition applications.
Implementations:
Parallel and distributed implementation, hardware design, and other
general implementation technologies.
For the fourth consecutive year, a Data Analysis and Signal Processing
Competition is being organized in conjunction with the workshop. The
goal of the competition is to advance the current state-of-the-art in
theoretical and practical aspects of signal processing domains. The
problems are selected to reflect current trends, evaluate existing
approaches on common benchmarks, and identify critical new areas of
research. Previous competitions produced novel and effective approaches
to challenging problems, advancing the mission of the MLSP community. A
description of the competition, the submissions, and the results, will
be included in a paper which will be published in the proceedings.
Winners will be announced and awards given at the workshop.
Selected papers from MLSP 2008 will be considered for a special issue of
The Journal of Signal Processing Systems for Signal, Image, and Video
Technology, to appear in 2009. The MLSP technical committee may invite
one or more winners of the data analysis and signal processing
competition to submit a paper describing their methodology to the
special issue.
Paper Submission Procedure
Prospective authors are invited to submit a double column paper of up to
six pages using the electronic submission procedure at
http://mlsp2008.conwiz.dk.
Accepted papers will be published on a CDROM to be distributed at the
workshop.
------------------------------
From: Nordic Signal Processing Symposium <nor...@neuro.kuleuven.be>
Subject: CFP : 8th Nordic Signal Processing Symposium - Denmark - 28FEB2008
FIRST CALL FOR PAPERS
8th Nordic Signal Processing Symposium NORSIG 2008
Copenhagen, Denmark, June 4-6, 2008
The Nordic Signal Processing Symposium is organized every two years and
it is devoted to all aspects of theory, design, implementation and
application of digital signal processing.
The symposium program will include invited lectures, papers accepted for
oral and poster presentation. Accepted papers will appear in the
symposium proceedings.
Submission Instructions at http://norsig2008.conwiz.dk
Submission Deadline: February 28, 2008
Notification of acceptance: April 1, 2008
List of topics includes:
Adaptive Signal Processing
Communications Signal Processing
DSP Education
Fast DSP Algorithms
Fuzzy Methods and Genetic Algorithms
Genomic Signal Processing
Image and Multidimensional Signal Processing
Linear Filter Design and Structures
Machine Learning for Signal Processing
Medical Image and Signal Processing
Multimedia and Virtual Reality
Nonlinear Signal Processing
Remote Sensing Signal Processing
Statistical Signal Processing
VLSI for Signal Processing
Wavelets and Filter Banks
The 2008 Symposium will further feature a special session in Audio
Signal Processing
Organizing Committee:
Chair: Prof. Lars Kai Hansen, DTU Informatics, Technical Univ of Denmark
Vice Chair: Prof. Soren Holdt Jensen, Dept of Electronic Systems, Aalborg Univ
Technical Chair: Prof. Jan Larsen, DTU Informatics, Technical Univ of Denmark
Local Organization: Ms Ulla Norhave, DTU Informatics, Technical Univ of Denmark
The 2008 Symposium is supported by
* Audio Signal Processing Network in Denmark ( http://www.asip-net.dk )
* IEEE Denmark ( http://www.ieee.dk )
* Intelligent Sound ( http://www.intelligentsound.org )
More Information at http://norsig2008.conwiz.dk
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End of VISION-LIST digest 27.2
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