Call for Papers
The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 31st BMVC will be held in Manchester, 7th—11th Sept 2020.
Authors are invited to submit full-length high-quality papers in image processing, machine vision, and related areas for 2020 British Machine Vision Conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.
All papers will be reviewed doubly blind, normally by three members of our international programme committee. Please note that BMVC is a single track meeting with oral and poster presentations and will include three keynote presentations and two tutorials.
Please Note: In keeping with conferences in the field (e.g. NeurIPS) and to cope with the increasing number of submissions, we ask that all authors be prepared to review papers and make use of a compulsory abstract submission deadline a week before the paper submission deadline. The CMT submission site will ask authors to acknowledge this commitment and failure to engage with the reviewing process might be grounds for rejection.
Topics include, but are not limited to:
Statistics and machine learning for vision
Stereo, calibration, geometric modelling and processing
Face and gesture recognition
Early and biologically inspired vision
Motion, flow and tracking
Segmentation and grouping
Image processing techniques and methods
Texture, shape and colour
Document processing and recognition
Vision for quality assurance, medical diagnosis, etc.
Vision for visualisation, interaction, and graphics
Object detection and recognition
Video analysis for action and event recognition
Illumination and reflectance
Deep learning for vision
3D computer vision
Accepted papers will be included the conference proceedings published and DOI indexed by BMVA. Past proceedings can be found online here. Prospective authors can have a look at the 2019 edition, as an example.