International Journal of Computational Vision and Robotics
- Editor in Chief
- Prof. Srikanta Patnaik
- ISSN online
- ISSN print
- 6 issues per year
- CiteScore 1.1 (2021)
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, 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, Province of China
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.
- View Author guidelines.
The road ahead
7 November, 2022
In a world of tired or momentarily inattentive drivers, vehicle safety features that mitigate against those problems can reduce the number of road traffic accidents. Work in the International Journal of Computational Vision and Robotics looks at how convolutional neural networks can be used to analyse input from external cameras on a vehicle to detect obstacles in the road and assist the driver in avoiding them. Ramzi Mosbah and Larbi Guezouli of the University of Batna 2 in Batna, Algeria, have focused their attention on a forward-facing camera on a car that can see the road ahead. Images acquired from the camera are fed to the system which then determines whether an unexpected object is present in the path of the vehicle. They suggest that such an intelligent driving assistance system could alert the driver or be used to apply appropriate controls to the car directly to avoid a collision [...]More details...
Making better photos
2 December, 2022
Removing noise, sharpening blurred areas, increasing resolution, and smoothing areas of similar tone are all useful in improving the quality of a digital photo. Writing in the International Journal of Computational Vision and Robotics, a team from China discusses their novel approach to image enhancement using skin-colour segmentation and smoothness. Haitao Sang, Bo Chen and Shifeng Chen of the College of Information Engineering at Lingnan Normal University in Zhanjiang and Li Yan of the College of Science at Guangdong University of Petrochemical Technology in Maoming explain how their enhancement algorithm is based on skin texture preservation and works with a mask so that hair detail is preserved during the smoothing and denoising. The mask is created using Gaussian fitting that detects and then feathers the edges of the skin areas in the photo [...]More details...