FUTURE COLOUR IMAGING: LIM CONFERENCE OVERVIEW
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Updated August 4, 2020
LIM 2020 is ONLINE: 29 SEPT - 1 OCT
— NEW SHORT COURSE PROGRAM ANNOUNCED
— REGISTRATION OPTION WILL INCLUDE CIC
The London Imaging Meeting (LIM) is a new yearly, topic-based conference in imaging science being launched in 2020. The theme of the first conference is “Future Colour Imaging”. It will present new papers in the area of color imaging. especially those that lead and seed future research directions. The conference program includes two short courses and a complementary tutorial.
LIM2020 is scheduled for 29 September to 1 October.
The first day offers two short courses—Comprehensive Colour Appearance Modelling (CCAM) and Chromatic Adaptation and Its Application in Imaging System—followed by a complementary workshop: Understanding Color and Your Camera.
The next two days comprise the technical program, with
- 2 Keynotes
- 5 Invited Focal Talks
- 15 oral presentations
- 14 Interactive (Poster) Presentations
- 9 Work-in-Progress Posters.
The
preliminary program is published and registration will open soon.
Confirmed Keynote and Focal Talks
Keynote Talks
Laurence Maloney (professor psychology and neural science, NYU)
—Surface color perception in realistic scenes: Previews of a future color science
Prof. Maloney received his PhD in psychology from Stanford University (1985) and MS
in mathematical statistics (1982), and his BA in mathematics from Yale (1973). He has taught at New York University (NYU) since 1988. His research focuses on applications of mathematical models to understanding human behavior. He has published more than 100 refereed journal articles. His work in the physics and mathematics of color vision resulted in two frequently cited articles in the Journal of the Optical Society of America. His most recent work applied Bayesian decision theory to perceptual judgments and the planning of movement, establishing a bridge between two previously unrelated fields, economic decision making and visuo-motor control. In 2008, he received the Humboldt Research Award ; in 1987, he shared the Troland Award of the National Academy of Sciences for his work on color vision. He spent Fall 2014 as a Fulbright Scholar in Budapest and was Guggenheim Fellow 2015-2016. He is a fellow of AAAS, the Society of Experimental Psychologists, the Psychonomic Society, and the Association for Psychological Science.
Felix Heide (assistant professor, Princeton, and chief technologist, Algolux, a self-driving vehicle startup)
—Designing Cameras to Detect the “Invisible”: Towards Domain-Specific Computational Imaging
Felix Heide researches the theory and application of computational imaging and computer vision systems. Exploring imaging, vision, and display systems end-to-end, his work lies at the intersection of optics, machine learning, optimization, computer graphics, and computer vision. He has co-authored more than 30 publications and filed 6 patents. He received his PhD from the University of British Columbia; he holds an MSc from the University of Siegen, and was a postdoc at Stanford University. His doctoral dissertation won the Alain Fournier PhD Dissertation Award and the SIGGRAPH outstanding doctoral dissertation award.
Focal Talks
Jon Hardeberg (professor, NNTU)
—Imaging the visible beyond RGB
Ronnier Luo (professor, Zheijiang)
—An overview of the recent developments on colour science
Raimondo Schettini (professor and head of the Imaging and Vision Lab, Univ. of Milano-Bicocca)
—CNN-based image quality assessment
Hannah Smithson (professor, Oxford Univ.)—
Surface Color under Environmental Illumination
Philipp Urban (head, Competence Center 3D Printing Technology, Fraunhofer Institute for Computer Graphics Research IGD, and adjunct professor, NTNU)
—Graphical 3D Printing: Challenges, Solutions and Applications
Venue
The conference will take place over three days, online. Details on connecting are sent a week prior to the start date to registrants.
LIM 2021
As well as soliciting new research papers in this year’s topic area, we would also like to hear from colleagues/groups who would like to suggest a topic of interest for the theme of next year’s London Imaging Meeting.