We invite submissions to IMVIP 2020 of papers presenting novel research contributions or applications related to any aspect of computer vision or image processing. IMVIP is the annual conference of the Irish Pattern Recognition and Classification Society, a member body of the International Association for Pattern Recognition (IAPR).
Contributions are sought in all aspects of image processing, pattern analysis and machine vision, including but not restricted to the following topics:
Visually Guided Robot Manipulation and Navigation
Computer Vision for Autonomous Vehicles
Augmented Reality/Virtual Reality
Data Clustering and Texture Analysis
Image & Video Representation, Compression and Coding
Medical and Biomedical Imaging
Active Vision, Tracking and Motion Analysis
Object and Event Recognition
Face and Gesture Recognition
2D, 3D Scene Analysis and Visualisation
Deep Learning for Computer Vision
Image/Shape Representation and Recovery
Applications, Architectures and Systems Integration
Education in Image Processing or Machine Vision
Autonomous quadrotors will soon play a major role in search-and-rescue and remote-inspection missions, where a fast response is crucial. Quadrotors have the potential to navigate quickly through unstructured environments, enter and exit buildings through narrow gaps, and fly through collapsed buildings. However, their speed and maneuverability are still far from those of birds and human pilots. Human pilots take years to learn the skills to navigate drones. Autonomous, vision-based agile navigation through unknown, indoor environments poses a number of challenges for robotics research in terms of perception, state estimation, planning, and control. In this talk, I will show how the combination of both model-based and machine learning methods united with the power of new, low-latency sensors, such as event-based cameras, allow drones to achieve unprecedented speed and robustness by relying solely on the use of passive cameras, inertial sensors, and onboard computing.
Benazouz Bradaï received his PhD degree in multisensor fusion in 2007 from Haute Alsace University in France. From 2007 to 2011, he was Algorithm Engineer and Expert for ADAS functions including Lighting Automation, Traffic Signs/lights recognition by camera and multi sensor fusion. Since 2011, he has been working on Automated Driving Innovation developments as Senior Expert and Innovation Platform Manager. His main research interest is Automated Driving with several scientific contributions in multi-sensors fusion, precise localization and mapping and Automated Driving Functional/SW architecture. He is a member of various professional associations including ADASIS Forum, SAE and SIA in France .
Henning Müller studied medical informatics at the University of Heidelberg, Germany, then worked at Daimler-Benz research in Portland, OR, USA. From 1998-2002 he worked on his PhD degree in computer vision at the University of Geneva, Switzerland with a research stay at Monash University, Melbourne, Australia. Since 2002, Henning has been working for the medical informatics service at the University Hospital of Geneva. Since 2007, he has been a full professor at the HES-SO Valais and since 2011 he is responsible for the eHealth unit of the school. Since 2014, he is also professor at the medical faculty of the University of Geneva. In 2015/2016 he was on sabbatical at the Martinos Center, part of Harvard Medical School in Boston, MA, USA to focus on research activities. Henning is coordinator of the ExaMode EU project, was coordinator of the Khresmoi EU project, scientific coordinator of the VISCERAL EU project and is initiator of the ImageCLEF benchmark that has run medical tasks every year since 2004. He has authored over 600 scientific papers with more than 16,000 citations and is in the editorial board of several journals and since 2020 is a member of the Swiss National Research Council. .
Full Papers must be a maximum of 8 pages including references and appendices.
Short papers must be a maximum of 4 pages including references and appendices.
Papers can be presented orally or by poster.
Due to the ongoing restrictions on travel the conference will be going fully online for all attendees.
Full Paper Extended Deadline: 5th June 2020
Acceptance Notification: 3rd July 2020
Camera Ready Deadline: 9th July
Short Paper Deadline: 17th July
Short Paper Acceptance Notification: TBC
Conference date: August 31st to September 2nd, 2020
The conference will run from 10am to 1pm on each of the three days Monday 31st August to 2nd September
As the conference date approaches we will inform attendees of links via our eventbrite registration system.
Seán Mullery IT Sligo
IT Sligo, Ash Lane Sligo, F91 YW50, Ireland
Eva Murphy IT Sligo
Shane Gilroy IT Sligo
Vincent Andrearczyk HES-SO
Ken Brown LYIT
Ian McLoughlin GMIT