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

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

Associate Editor-in-Chief

Ying Wu
Northwestern University
Email: yingwu@northwestern.edu

Steering Committee

Mubarak Shah
University of Central Florida

Luc van Gool
KU Leuven / ESAT / PSI

Zhengyou Zhang
Tencent America

Editorial Coordinator

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

Editorial Board

Lamberto Ballan
University of Padova

Dhruv Batra
Georgia Institute of Technology

George Bebis
University of Nevada

Stan Birchfield

Kim Boyer
University at Albany

Francois Bremond

Aurelio Campilho
University of Porto

Chu-Song Chen
Academia Sinica

Abhinav Gupta
Carnegie Mellon

Bohyung Han
Pohang University of Science and Technology

Junwei Han
Northwestern Polytechnical University

Gang Hua
Stevens Institute of Technology

Chung-Lin Huang
Asia University

Yu-Gang Jiang
Fudan University

Yasuyo Kita
National Institute of Advanced Industrial Science and Technology

Marius Leordeanu

Xuelong Li
Northwestern Polytechnical University

Jingen Liu
SRI International

Zheng Liu
University of British Columbia (Okanaga)

Stephen J. McKenna
University of Dundee

Tao Mei
Microsoft Research

Thomas B. Moeslund
Aalborg University

Vittorio Murino
IIT Istituto Italiano di Tecnologia

Jean-Marc Odobez

Margarita Osadchy
University of Haifa

Devi Parikh
Georgia Institute of Technology

Federico Pernici
University Of Firenze

Fatih Porikli
Australian National University (ANU)

Nasir Rajpoot
University of Warwick

A. Ravishankar Rao
Fairleigh Dickinson University

Eraldo Ribeiro
Florida Institute of Technology

Nicu Sebe
University of Trento

Richard Souvenir
Temple University

Ping Tan
Simon Fraser University

Qi Tian
University of Texas at San Antonio

Pingkun Yan
Rensselaer Polytechnic Institute

Jie Yang
Carnegie Mellon University

Zhigang Zhu
City College of New York

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For authors and editors

  • Journal Citation Reports®
    2018 Impact Factor
  • 1.788
  • Aims and Scope

    Aims and Scope


    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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