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Computer Science - Image Processing | Machine Vision and Applications-incl. option to publish open access (Editorial Board)

Machine Vision and Applications

Machine Vision and Applications

Editor-in-Chief: Rahul Sukthankar

ISSN: 0932-8092 (print version)
ISSN: 1432-1769 (electronic version)

Journal no. 138

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Editor-in-Chief

Rahul Sukthankar
Google Research
USA
Email: rahul.sukthankar@gmail.com

Steering Committee

Mubarak Shah
University of Central Florida
USA

Luc van Gool
KU Leuven / ESAT / PSI
Belgium

Zhengyou Zhang
Microsoft Research
USA

Editorial Coordinator

Cherry Place
Email: mva-ec@cs.ucf.edu
Phone: +1 (407) 823-6495

Editorial Board

Lamberto Ballan
University of Florence
Italy

Dhruv Batra
Georgia Institute of Technology
USA

George Bebis
University of Nevada
USA

Stan Birchfield
NVIDIA
USA

Kim Boyer
University at Albany
USA

Francois Bremond
INRIA
France

Aurelio Campilho
University of Porto
Portugal

Enis Cetin
Bilkent University
Turkey

Chu-Song Chen
Academia Sinica
Taiwan

Abhinav Gupta
Carnegie Mellon
USA

Bohyung Han
Pohang University of Science and Technology
Korea

Junwei Han
Northwestern Polytechnical University
China

Gang Hua
Stevens Institute of Technology
USA

Chung-Lin Huang
Asia University
Taiwan

Yu-Gang Jiang
Fudan University
China

Yasuyo Kita
National Institute of Advanced Industrial Science and Technology
Japan

Marius Leordeanu
IMAR
Romania

Xuelong Li
Chinese Academy of Sciences
China

Jingen Liu
SRI International
USA

Zheng Liu
University of British Columbia (Okanaga)
Canada

Jiebo Luo
University of Rochester
USA

Stephen J. McKenna
University of Dundee
UK

Tao Mei
Microsoft Research
China

Thomas B. Moeslund
Aalborg University
Denmark

Vittorio Murino
IIT Istituto Italiano di Tecnologia
Italy

Jean-Marc Odobez
IDIAP
Switzerland

Margarita Osadchy
University of Haifa
Israel

Devi Parikh
Virginia Tech
USA

Federico Pernici
University Of Firenze
Italy

Massimo Piccardi
University of Technology
Australia

Fatih Porikli
Australian National University (ANU)
Australia

Nasir Rajpoot
University of Warwick
UK

A. Ravishankar Rao
Fairleigh Dickinson University
USA

Eraldo Ribeiro
Florida Institute of Technology
USA

Nicu Sebe
University of Trento
Italy

Richard Souvenir
Temple University
USA

Ping Tan
Simon Fraser University
Canada 

Qi Tian
University of Texas at San Antonio
USA

Ying Wu
Northwestern University
USA

Pingkun Yan
Philips Research North America
USA

Jie Yang
Carnegie Mellon University
USA

Zhigang Zhu
City College of New York
USA

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  • Aims and Scope

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    Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal.

    Particular emphasis is placed on engineering and technology aspects of image processing and computer vision.

    The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.

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