Call for Papers 22 December 2019
Registration Opens
17 February 2020
Final Manuscripts Due
28 February 2020
Early Registration Ends
7 March 2020
Conference Dates 6-7 April 2020



LIM Series Chair
Graham Finlayson
University of East Anglia (UK)

General Chair
Javier Vázquez Corral
Universitat Pompeu Fabra (Spain)

Program Committee Members
Ali Alsam

Simone Bianco

University of Milano Bicocca
Jonathan Cepeda-Negrete
Universidad de Guanajuato
Wei Chen
Omnivision Technologies
Mark Drew
Simon Fraser University

Jon Hardeberg

Youngshin Kwak
Ulsan National Institute of Science and Technology
Michal Mackiewicz
University of East Anglia
Jan Morovic
HP Inc.
Michael Murdoch
Rochester Institute of Technology
Marius Pedersen
Raimondo Schettini
University of Milano-Bicocca

Midori Tanaka

Chiba University
Philipp Urban
Fraunhofer Institute for Computer Graphics Research IGD

Maria Vanrell
Universitat Autònoma de Barcelona
Minchen Wei
The Hong Kong Polytechnic University
Stephen Westland
Leeds University
Sophie Wuerger
University of Liverpool
Kaida Xiao
University of Leeds

Steering Committee
Michael Brown
York University (Canada)
Susan Farnand
Rochester Institute of Technology
Rafal Mantiuk
University of Cambridge (UK)


The LIM Steering Committee has been in touch with IOP, where the conference is being held. IOP is following UK guidelines for gatherings. As of now, no decision has been made as to the Sept/Oct time frame.

The tentative new dates for the LIM meeting remain 30 September to 1 October. We will have another update after July 6. Until then, the committee is moving forward with the assumption that LIM will be a hybrid meeting, with some people able to meet in person in London and others participating remotely. Priority for in-person participation will be given to speakers.

We will continue to update this page with details as they become available. Please send any concerns or comments to


LIM is now accepting “Work-in-Progress” abstracts for Day 2 of LIM2020. All topics relevant to the conference are welcome; students are particularly encouraged to submit. Accepted abstracts will be presented as posters; posters are not archival publications, but poster abstracts will appear in a printed booklet at the LIM meeting. Authors are free to submit fuller versions of their work to future conferences and journals.

Abstracts are limited to 300 words (not including title, author(s), affiliation(s), funding acknowledgements, etc.). Abstracts should include an introduction, methods, results, and conclusion sections, with sufficiently detailed descriptions of the methods and results. Abstracts may be created in a software program of your choice and submitted as a PDF.

Only a small number of poster slots are available. The Steering Committee will review submitted abstracts on a first-come, first-served basis, and will endeavor to confirm acceptance quickly. The submission site will close when the maximum number of posters has been reached.

>>Submit "Work-in-Progress" Abstract for Review


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 seeks to attract and present new papers in the area of colour imaging especially those which will lead and seed future research directions. The conference programme also includes a keynote presentation and evening talk.

Pre-conference Workshop: Understanding Color for the In-Camera Processing Pipeline
As part of the 2-day conference program, Prof. Michael Brown of York University in Toronto, Canada will offer a 90-minute workshop that provides a background on color theory and its relationship to the in-camera processing pipeline and imaging applications. The workshop, organized into two parts, starts with background on color theory and color representations, namely the CIE 1931 XYZ color space and other common color spaces such as sRGB, L*ab, and Yuv, then discusses routines applied on board cameras to convert the low-level sensor raw-RGB responses to their final standard RGB (sRGB) colors. These routines include computational color constancy (auto white balance), colorimetric conversion, image demosaicing, image denoising, tone-mapping, and general color manipulation. The workshop concludes with a discussion on various misconceptions about color and camera images made in many areas of image processing and computational computer vision. The workshop takes place the morning of 6 April and is included in the registration fee.

Confirmed Keynote and Focal Talks
Keynote Talks
6 April: 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.

7 April: 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.)—talk on Perception; title TBA
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


The conference will take place over two days at the Institute of Physics in London, 6-7 April 2020. To facilitate easy travel to and from the conference, the technical programme begins mid-morning on the 6th and finishes late afternoon on the 7th (only a single night needs to be spent in London).

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.

No content found

No content found

No content found