International Journal of Computational Vision and Robotics
- Editor in Chief
- Prof. Srikanta Patnaik
- ISSN online
- ISSN print
- 6 issues per year
IJCVR is an international refereed journal in the field of image processing, pattern recognition, machine vision and image understanding, providing an international forum for professionals, engineers and researchers.
Topics covered include
- Early vision, vision systems
- Computer vision, AI applications
- Computer games and animation
- Computational geometry
- Shape/range/motion analysis
- Signal/image processing
- Image matching, medical imaging
- Pattern/face recognition
- Architecture, languages
- Parallel computer vision
- Interactive computational models
- Biological vision, alternative eyes
- 3D vision/perception
- Robotics, multi-sensory data fusion
IJCVR aims to provide an international forum for all scientists and engineers engaged in research and development activities in the field of machine vision, robotics, cognition and perception. IJCVR publishes various articles comprising of innovations, comparisons, extensions and new applications.
IJCVR offers a forum to help academics, researchers, R&D personnel, consultants and manufacturers in the field of computer vision, robotics and intelligent systems to disseminate information and to learn from each other's work.
IJCVR reports various intelligent and soft computing techniques in the areas of image processing and pattern recognition. This also encourages the researchers to integrate various techniques of computer vision with robotics, image understanding and cognitive science. Special Issues devoted to important topics in the areas image processing, pattern recognition, machine vision and image understanding will also be published periodically.
IJCVR is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Academic OneFile (Gale)
- ACM Digital Library
- cnpLINKer (CNPIEC)
- DBLP Computer Science Bibliography
- Expanded Academic ASAP (Gale)
- Google Scholar
- Info Trac (Gale)
- ProQuest Advanced Technologies Database with Aerospace
IJCVR is listed in:More journal lists/directories...
Editor in Chief
- Patnaik, Srikanta, SOA University and Interscience Institute of Management and Technology, Bhubaneswar, India
- Jia, Jiancheng (Kevin), International Game Technology, USA
- Shi, Junsheng, Yunnan Normal University, China
Editorial Board Members
- Bendjenna, Hakim, University of Larbi Tebessi, Algeria
- Bhatia, Sanjiv K., University of Missouri - St. Louis, USA
- Chaudhuri, Debasis, Defence Electronics Applications Laboratory, India
- Damper, R.I., University of Southampton, UK
- DeSouza, Guilherme N., University of Western Australia, Australia
- Gini, Maria, University of Minnesota, USA
- Governi, Lapo, University of Florence, Italy
- Han, Wang, Nanyang Technological University, Singapore
- Koshizen, Takamasa, Honda Research Institute Japan Co. Ltd., Japan
- Kothari, Ravi, IBM Research - India, India
- Kountchev, Roumen Kirilov, Technical University of Sofia, Bulgaria
- Krim, Hamid, North Carolina State University, USA
- Lee, Chan-Su, Yeungnam University, South Korea
- Lima, Pedro U., Instituto Superior Técnico, Puerto Rico
- Mata, Mario, Universidad Europea de Madrid, Spain
- Michalewicz, Zbigniew, University of Adelaide, Australia
- Moreno, Luis, University of Carlos III, Spain
- Nahvi, Ali, K.N. Toosi University of Technology, Iran
- Ranjan, Jayanthi, Institute of Management Technology (IMT), India
- Ruichek, Yassine, University of Technology of Belfort-Montbéliard, France
- Samal, Ashok, University of Nebraska-Lincoln, USA
- Sethi, Ishwar, Oakland University, USA
- Shafazand, M. Hassan, Shahid Bahonar University of Kerman, Iran
- Sharma, Rajeev, Pennsylvania State University, USA
- Sun, Yu, Michigan State University, USA
- Tan, Kok Kiong, National University of Singapore, Singapore
- Wren, Christopher R., Mitsubishi Electric Research Laboratories, USA
- Yang, Yeon-Mo, Kumoh National Institute of Technology, South Korea
- Yeasin, Mohammed, University of Memphis, USA
- Yezzi, Anthony, Georgia Institute of Technology, USA
- Yin, Peng-Yeng, National Chi Nan University, Taiwan
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- Submit here.
Recognising the signs
5 September, 2019
Machine recognition of sign languages is on the cards thanks to work by a team in India who are using a Microsoft Kinect movement-identifying controller. Writing in the International Journal of Computational Vision and Robotics, the team explains how their system uses just 11 of the 20 joints tracked by a Kinect and can extract novel features per frame, based on distances, angles, and velocity involving upper body joints. The team reports how the algorithm recognizes 35 gestures from Indian sign in real time with almost 90 percent accuracy [...]More details...
Counting the crowd
17 May, 2019
Visual surveillance of crowds is an important part of event management as well as policing. Now, a team from Malaysia and Saudi Arabia have looked at the various tools that have become available in recent years for automatically assessing the number of people in a crowd and determining the dynamics and movement of that crowd. Writing in the International Journal of Computational Vision and Robotics, the team finds several gaps in the current state-of-the-art technology and points developers to how those gaps might be filled [...]More details...
Automated disease detection in maize
7 March, 2019
Maize is perhaps the single, most-important cereal crop in the world. It is consumed by millions of people and is a staple for a large proportion of the global population. It is also used for animal feed and its total production far outstrips rice and wheat. It is also converted into other edible products such as corn syrup and corn starch as well as useful, but inedible products, like bioethanol. Unfortunately, as with many vital crops, there are significant pests and diseases that can devastate the harvest or damage the product afterwards, during transportation and storage prior to consumption [...]More details...