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Thank you for attending, the live events have concluded.
Recordings have been posted in the appropriate Library.


LIM 2021 Final Program and Proceedings may be downloaded from the Libraries under the Technical Sessions tab. You must be signed in to the portal for viewing access.


General Chair
Sophie Triantaphillidou, University of Westminster (UK)

Program Committee
Seyed Ali Amirshahi, NTNU (Norway)
Simone Bianco, University Milano-Biccoca (Italy)
Sebastian Bosse, Fraunhofer Heinrich Hertz Institute HHI (Germany)
Alexander Braun, University of Applied Sciences (Germany)
Peter Burns, Burns Digital Imaging (US)
Christy Fernandez-Cull, Lyft / MIT (US)
Valentina Donzella, University of Warwick (UK)
Chaker Larabi, University of Poitier (France)
Yi-Tun Lin, University of East Anglia (UK)
Michal Mackiewicz, University of East Anglia (UK)
Ronald Mueller, Vision Markets GmbH (Germany)
Marius Pedersen, NTNU (Norway)
Jonathan Phillips, Google (US)
Alexandra Psarrou, University of Westminster (UK)
Raquel Gil Rodríguez, Justus Liebig University Giessen (Germany)
Raimondo Schettini, University Milano-Biccoca (Italy)
Giorgio Trumpy, University Zurich (Switzerland)
Maria Vanrell, Universitat Autònoma de Barcelona (Spain)
Barbara Villarini, University of Westminster (UK)
Stephen Westland, Leeds Universty (UK)


2 Keynote Talks
1 Invited Lecture
5 Focal Talks
11 Oral Presentations
6 Interactive Presentations
2 Short Courses


Welcome Remarks
10:30-10:40 London / 05:30-05:40 New York

Imaging Performance for Deep Learning
10:40-11:50 London / 05:40-06:50 New York

Lunch Break
11:50-13:00 London / 06:50-08:00 New York

Invited Lecture
13:00-14:00 London / 08:00-09:00 New York
Using Imaging Data for Efficient Colour Design, Stephen Westland, University of Leeds and Colour Intelligence Ltd. (UK)

14:00-14:20 London / 09:00-09:20 New York

Wednesday Keynote
14:20-15:20 London / 09:20-10:20 New York
Camera Metrics for Autonomous Vision, Robin Jenkin, NVIDIA (US) and University of Westminster (UK)

15:20-15:40 London / 10:20-10:40 New York

Deep Learning for Characterization and Optimization
15:40-17:10 London / 10:40-12:10 New York

Best Paper Award Presentation and Closing Remarks
17:10-17:30 London / 12:10-12:30 New York


Conference Opening
09:30-09:40 London / 04:30-04:40 New York

10:50-11:10 London / 05:50-06:10 New York

Datasets for Deep Learning
11:10-12:20 London / 06:10-07:20 New York

Lunch Break
12:20-13:20 London / 07:20-08:20 New York

Two-Minute Interactive Paper Previews Followed by the Interactive Paper Poster Session
13:20-14:30 London / 08:20-09:30 New York
We are using the platform Gatherly for the Interactive Paper Poster Session. See the Gatherly Guidelines to learn about this platform.

Color and Constancy
14:30-15:40 London / 09:30-10:40 New York

15:40-16:00 London / 10:40-11:00 New York

Tuesday Keynote
16:00-17:00 London / 11:00-12:00 New York
Soft-prototyping Camera Designs for Autonomous Driving, Joyce E. Farrell, Stanford University Center for Image Systems Engineering (SCIEN) (US)


Short Courses

Imaging Quality for Automotive and Machine Vision Applications
15:30 London / 08:00-10:30 New York

separate registration fee required; course details

Optics and Hardware Calibration of Compact Camera Modules for AR/VR, Automotive, and Machine Vision Applications
16:00-18:30 London / 11:00-13:30 New York

separate registration fee required; course details


LIM2021 Short Courses

 1. click on Courses in the top navigation bar
 2. scroll down and click on Libraries for the course.

LIM2021 Technical Sessions
 1. click on Technical Sessions in the top navigation bar
 2. scroll down and click on Libraries