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|has general chair=Ling Shao | |has general chair=Ling Shao | ||
|has program chair=Hubert P. H. Shum, Timothy Hospedales | |has program chair=Hubert P. H. Shum, Timothy Hospedales | ||
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|has Proceedings Link=https://dblp.org/db/conf/bmvc/bmvc2018.html | |has Proceedings Link=https://dblp.org/db/conf/bmvc/bmvc2018.html | ||
|pageCreator=User:Curator 27 | |pageCreator=User:Curator 27 | ||
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{{Event Deadline}} | {{Event Deadline}} | ||
| + | {{Event Metric | ||
| + | |Number Of Submitted Papers=862 | ||
| + | |Number Of Accepted Papers=335 | ||
| + | }} | ||
{{S Event}} | {{S Event}} | ||
{{Organizer | {{Organizer | ||
Revision as of 13:30, 18 October 2022
Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland
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 29th BMVC will be held at Northumbria University, 3rd-6th September 2018. The university is located in Newcastle upon Tyne — one of the most iconic cities in the North of England.
BMVC 2018 is a high quality single-track conference, comprising oral presentations and poster sessions (with typical oral acceptance rate (10%). The conference features keynote presentations and a tutorial, and associated workshops on the last day of the conference, including a PhD student workshop.
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 • Model-based vision • Image processing techniques and methods • Texture, shape and colour • Video analysis • Document processing and recognition • Vision for quality assurance, medical diagnosis, etc. • Vision for visualization, interaction, and graphics • Object detection and recognition • Shape-from-X • Video analysis for action and event recognition • Illumination and reflectance • Deep learning for vision • 3D computer vision • RGBD analysis
Accepted papers will be included the conference proceedings published and DOI indexed by BMVA.
