The International Journal of Computer Vision (IJCV) provides a forum for the dissemination of new research results in the rapidly growing field of computer vision. Now publishing 15 issues a year, International Journal of Computer Vision presents high-quality, original contributions to the science and engineering of this rapidly growing field.
· Regular articles (up to 25 journal pages) present major technical advances of broad general interest.
· Short articles (up to 10 pages) provide a fast publication path for novel research results.
· Survey articles (up to 30 pages) offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics.
· Book reviews, position papers, and editorials by leading scientific figures will from time to time complement the technical content of the journal.
· Additional, on-line material such as still images and video sequences, data sets, and software is encouraged.
Papers should cover:
· Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.
· Applications: image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media, medicine, human-machine interaction, surveillance.
· Connections with human perception: computational and architectural aspects of human vision.

Editorial Policies
· There are no page charges in IJCV.
· Papers are published on line in advance of print publication.
· Responses to position papers are welcome.
· Editorials, position papers, and their responses will be available online free of charge.
· IJCV has a liberal copyright policy.
Academic and industrial researchers in computer vision, robotics, and artificial intelligence, as well as psychologists and neuroscientists interested in the connection between computer and human vision, will find IJCV to be the essential forum for important results in the field.

Founding Editors:
Rodney Brooks
Takeo Kanade

Editors-in-Chief:
Martial Hebert
Carnegie Mellon University, USA 

Svetlana Lazebnik 
University of Illinois at Urbana-Champaign, USA
Xiaoou Tang
Chinese University of Hong Kong, Hong Kong
Editorial Board:

Lourdes Agapito, University College London 
Karteek Alahari, Inria
Adrien Bartoli, University of Clermont Auvergne 
Edmond Boyer, INRIA Grenoble Rhône-Alpes 
Yuri Boykov, University of Western Ontario 
Christoph Bregler, New York University 
Michael Bronstein, University of Lugano 
Mike Brooks, University of Adelaide 
Michael Brown, National University of Singapore 
Thomas Brox, University of Freiburg 
Subhasis Chaudhuri, Indian Institute of Technology, Bombay
Minsu Cho, Pohang University of Science and Technology, Korea
Robert Collins, Pennsylvania State University
Jason Corso, University of Michigan
Daniel Cremers, TU Munich 
Jifeng Dai, Microsoft Asia
Koichiro Deguchi, Tohoku University 
Sven Dickinson, University of Toronto
Vittorio Ferrari, Google AI, Switzerland
Pedro Felzenszwalb, Brown University
Yasutaka Furukawa, Simon Fraser University 
Andreas Geiger, Max Planck Institute, Tübingen 
Kristen Grauman, University of Texas at Austin
Bumsub Ham, Yonsei University, Korea
Gang Hua, MSRA 
Hiroshi Ishikawa, Waseda University 
Jiaya Jia, The Chinese University of Hong Kong 
Koichi Kise, Osaka Prefecture University 
Nikos Komodakis, Universite Paris-Est, Ecole des Ponts ParisTech 
Jana Kosecka, George Mason University 
Christoph Lampert, IST Austria
Ivan Laptev, INRIA
Vincent Lepetit, Technical University of Graz, Austria 
Dahua Lin, The Chinese University of Hong Kong
Stephen Lin, Microsoft Research Asia 
Zhouchen Lin, Peking University 
Chen Change Loy, Nanyang Technological University
Julien Mairal, INRIA 
Subhransu Maji, UMass Amherst
Jiri Matas, Czech Technical University 
Yasuyuki Matsushita, Microsoft Research Asia 
Jean-Michel Morel, CMLA 
Yasuhiro Mukaigawa, Osaka University 
Srinivasa Narasimhan, Carnegie Mellon University 
Ko Nishino, Drexel University 
Takayuki Okatani, Tohoku University 
Masatoshi Okutomi, Tokyo Institute of Technology 
Xavier Pennec, INRIA 
Patrick Perez, Valeo.ai
Florent Perronnin, NAVER LABS Europe
Deva Ramanan, Carnegie Mellon University
Stefan Roth, TU Darmstadt 
Imari Sato, National Institute of Informatics
Jun Sato, Nagoya Institute of Technology
Yoichi Sato, The University of Tokyo 
Shin'ichi Satoh, National Institute of Informatics 
Daniel Scharstein, Middlebury College 
Bernt Schiele, MPI Informatics 
Alexander Schwing, University of Illinois at Urbana-Champaign
Josef Sivic, INRIA 
Cristian Sminchisescu, Lund University
Stefano Soatto, UCLA 
Akihiro Sugimoto, National Institute of Informatics
Jian Sun, Xi'An Jiaotong University, China
Ping Tan, National University of Singapore 
Antonio Torralba, Massachusetts Institute of Technology 
Tinne Tuytelaars, Katholieke Universiteit Leuven
Olga Veksler, University of Western Ontario 
Baba C. Vemuri, University of Florida 
Xiaogang Wang, The Chinese University of Hong Kong 
Joachim Weickert, Saarland University 
Yasushi Yagi, Osaka University 
Ming-Hsuan Yang, University of California at Merced 
Wenjun Zeng, MSRA 
Song-Chun Zhu, UCLA
Honorary Board:
Edward H. Adelson, Nicholas Ayache, Ruzena Bajcsy, Thomas O. Binford, Andrew Blake, Robert C. Bolles, Michael Brady, Chris Brown, Stefan Carlsson, Jan-Olof Eklundh, Olivier Faugeras, Martin A. Fischler, David Forsyth, Eric Grimson, Gregory D. Hager, Richard Hartley, Vaclav Hlavac, Berthold K.P. Horn, Thomas Huang, Daniel Huttenlocher, Ray Jarvis, Reinhard Klette, Jan J. Koenderink, In So Kweon, David Lowe, Jitendra Malik, Steve Maybank, Gérard Medioni, David Mumford, Joseph Mundy, Hans-Hellmut Nagel, Shree K. Nayar, Michael T. Orchard, Marc Pollefeys, Jean Ponce, Cordelia Schmid, Christoph Schnörr, Bernhard Schölkopf, Steve Seitz, Steven Shafer, Yoshiaki Shirai, Harry Shum, A.W.M. Smeulders, David Suter, Richard Szeliski, Saburo Tsuji, Shimon Ullman, Luc Van Gool, Chris Williams, Zhengyou Zhang, Andrew Zisserman, Steven W. Zucker