Journal Information
Image and Vision Computing
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 2017-02-07
Special Issues
Special Issue on Reliable Automatic Facial Coding
Submission Date: 2017-05-15

I. Aim and Scope Automatic Facial Action Coding, in particular FACS Action Unit coding, has continued to see steady progress since the first challenge in automatic facial expression recognition was held (FERA 2011). Two more FACS challenges have been organised since then (FERA 2015 and 2017), which opened benchmarking to interactive scenarios using the SEMAINE database, and to spontaneous emotions and non-frontal head-poses using the BP4D database. Other benchmarking databases have also been widely used, e.g. the DISFA or UNBC-McMaster shoulder-pain expression archive database. We are calling for papers in the broad area of facial action coding, with a stated interest in and focus on fair comparison on aspects of occurrence and intensity estimation accuracy, computational complexity, robustness to the prevailing challenging conditions, and reproducibility of results. All submissions *must* report on the three FERA testsets (2011, 2015, and 2017), in addition to any other data sets authors wish to report on. Results on the FERA testsets will be included in a summary of the special issue. II. Themes Papers are invited addressing any of the following themes: Action Unit Occurrence detection Action Unit intensity estimation FACS analysis for human behaviour interpretation FACS analysis under challenging conditions Deep Learning for Automatic Facial Coding Multimodal and multi-cue behaviour analysis using FACS III. Submission Manuscripts should be prepared according to the “Information for Authors” of the journal found at To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select “SI:Reliable Automatic” when they reach the “Article Type Name” step in the submission process. IV. Important Dates 15 May 2017 – Deadline for manuscript submission 26 July 2017 – Notification of authors 6 September 2017– Deadline for revised manuscripts 8 November 2017– Final version
Last updated by Dou Sun in 2017-02-07
Special Issue on Biometrics in the Wild
Submission Date: 2017-06-30

Introduction Biometric recognition from data captured in unconstrained settings, commonly referred to as biometric recognition in the wild, represents a challenging and highly active area of research. The interest in this area is fueled by the numerous application domains that deal with unconstrained data acquisition conditions such as forensics, surveillance, social media, consumer electronics or border control. While the existing biometric technology has matured to a point, where excellent performance can be achieved for various tasks in ideal laboratory-like settings, many problems related to in-the-wild scenarios still require further research and novel ideas. The goal of this special issue is to present the most advanced work related to biometric recognition in unconstrained settings and introduce novel solutions to open biometrics-related problems. Submitted papers should make a significant contribution in terms of theoretical findings or empirical observations, demonstrate improvements over the existing state-of-the-art and use the most challenging datasets available. The special issue builds on the Biometrics-in-the-Wild (BWild) workshop series organized as part of IEEE FG 2015 and IEEE FG 2017. The special issue is open to all, but submissions from past BWild participants are especially welcome. Topics of Interest We invite original high-quality papers on topics related to biometric recognition in the wild, including, but not limited to: Region of interest detection (alignment, landmarking) in the wild, Soft biometrics in the wild, Context-aware techniques for biometric detection and recognition, Novel normalization techniques, Multi-modal biometrics in the wild, Biometric recognition in the wild, Biometrics from facial behavior (e.g., eye movement, facial expressions, micro-expressions), Biometrics based on facial dynamics, Novel databases and performance benchmarks, Ethical issues, privacy protection and de-identification, Spoofing and countermeasures, Deep learning approaches for unconstrained biometric recognition, Related applications, especially mobile. Important Dates Submission deadline: 30 June, 2017 Target publication date: First half of 2018
Last updated by Dou Sun in 2017-02-07
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