Journal Information
Image and Vision Computing (IVC)
Impact Factor:

Call For Papers
Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.

In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.

An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:

    Comments on success and challenges in a (sub-) field of computer vision,
    Remarks on new frontiers in computer vision
    Observations on current practices and trends in research, and suggestions for overcoming unsatisfying aspects
    Observations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspects
    Reviews of early seminal work that may have fallen out of fashion
    Summaries of the evolution of one's line of research
    Recommendations for educating new generations of vision researchers.
Last updated by Dou Sun in 2019-01-05
Special Issues
Special Issue on Role of Computer Vision in Smart Cities
Submission Date: 2019-12-05

Smart Cities initiatives are incorporated in order to implement and improve the quality of life of the people and the environment we live in. Smart cities need smart technologies to be adopted so that the technology rectifies the negative factors which impact the society caused by human and natural activities. Proper monitoring technologies are needed to predict and control activities like criminal offenses, inhuman activities, critical weather and climatic conditions and many more. The most important factors which are considered while building smart cities are security, safety, control and monitoring. These factors can be overcome with a properly implementing Internet of things. Recent advances in sensor technologies have many features such as movement tracking, measuring, authentication and recognition. These various smart sensors when used in critical conditions in the areas of manufacturing, farming, healthcare, energy, transportation and infrastructure can be of utmost importance in improving the quality of general public. To overcome the security issues occurring at various places Computer Vision can be used which can make a massive impact in the betterment of the human lives. Computer Vision can be widely interlinked with wired and wireless networks, it can recognize faces as images, videos or real time streaming within a short span of time. By Computer Vision system the color, quality, gestures, shape, signs and movement can be sensed and recognized and the application can learn organize its own conclusions. Since, these data are collected in the real time scenario; the analyzed data can be used in immediate implementation. Computer Vision can be used to determine traffic jam problems, sanitation issues, parking of vehicles, overcrowding, environmental changes, controlled access, theft identification and reduction, forensic investigations, secure transactions, disease detection and many more. Since, the role of Computer Vision process sets a new standard in eradication of the security and safety measures in smart cities. This special issue on the Role of Computer Vision for Smart Cities provides an excellent platform to exchange ideas, frameworks and technological approaches in developing, designing, implementing and operating within a specific environment inside the smart cities. This research on Computer Vision in Smart city can be used in identifying the various strengths, weakness, opportunities and threats in deploying in smart environment. Topics of interest include but are not restricted to: IoT in the implementation of Safety and Security System in Smart Cities Raspberry Pi assisted face recognition framework for smart cities Internet of Things controlled facial-expression monitoring system Secure integration of IoT and Image Recognition System IoT empowered smart monitoring solutions IoT based real time traffic control using facial recognition Review on image segmentation techniques using IoT Need of remote sensing models and methods for Computer Vision Recent advances in techniques of Computer Vision Intelligent face recognition and navigation system in Smart Cities Secure integration of IoT with Computer Vision techniques. A conceptual framework for IoT-based Computer Vision Hardware Integration and Implementation for betterment of Computer Vision.
Last updated by Dou Sun in 2019-08-15
Special Issue on Novel Insights on Ocular Biometrics In Image and Vision Computing
Submission Date: 2019-12-31

Notwithstanding the enormous potential of the traits in the ocular region for biometric applications, this line of research still raises several open issues, which justifies the ongoing research efforts. For instance, the relatively recent emergence of the periocular and sclera traits makes it worth recording the progress of this area. Also, all the traits underlying ocular biometrics and their possible combination still need to be more thoroughly investigated, not only to improve recognition robustness, but also to perceive the potential of this kind of traits to play a significant role in solving emerging problems in the biometrics domain, such as “systems interpretability”, “weakly/partial supervised recognition” or “forensics evidence and biometric recognition”. This special issue aims at providing a platform to publish and record the recent research on ocular biometrics in order to push the border of the state-of-the-art. Topics of interest include, but are not limited to: · Ocular biometrics at-a-distance and in-the-wild; · Ocular biometric beyond texture feature · Ocular biometrics in mobile environments; · Segmentation, enhancement issues of ocular biometrics; · Interpretability in ocular biometrics; · Weakly supervised ocular biometric recognition; · Liveness of ocular biometrics; · Adaptability of ocular biometrics; · Databases on ocular biometrics; · Ocular biometrics for forensics applications; · Ocular biometrics for classifying gender, age, ethnicity; · Ocular biometrics for newly born or twins; · Fusion of different ocular biometrics like sclera, iris, periocular region etc.
Last updated by Dou Sun in 2019-06-09
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