Keynote Speakers

Keynote Speakers:
Robin Wang

Robin is co-founder and CEO of Living Optics. After doing degrees in Maths, Physics, and Spanish at the University of Melbourne he suffered a brief stint in the corporate world, he escaped to the University of Oxford for a PhD in physics. Halfway through the PhD, he spun out Living Optics, a company that is hell-bent on making hyperspectral imaging better, cheaper, and easier to use.

Reluctantly starting a hyperspectral camera company: a guide to the terrors of the start-up world

Abstract:
There are many opportunities to make mistakes when running a start-up. I’ve taken up many of these opportunities. To avoid everyone else making the same (sometimes dumb) mistakes, I’ll take you through the journey of Living Optics, which start as a PhD ‘side project’ and has now raised more than £30M and is now a company of 34 people, now selling hyperspectral cameras worldwide. Their hyperspectral cameras operate at video rates and feature an all-transmissive optical design, eliminating the need for expensive and inefficient mirrors or gratings. This results in cameras that are both compact and cost-effective. Fortune 100 companies and startups alike use these cameras in applications such as industrial inspection, healthcare, and agriculture.

Anya Hurlbert

Anya Hurlbert is Professor of Visual Neuroscience at the Newcastle University in the UK.
Her background is in physics, medicine and neuroscience, with her higher education and early career research experience taking place on both sides of the Atlantic. She holds degrees from Princeton, Cambridge, MIT, and Harvard. Her research focuses on color perception, light and behaviour, and image analysis in art and biomedicine. She co-founded the Institute of Neuroscience at Newcastle, served as Scientific Trustee of the National Gallery in London, and is Trustee of the Science Museum Group. She is a member of several committees and boards in the field of vision science. Anya Hurlbert is also active in science outreach and has created science-based art exhibitions.

Does perceiving the illumination have anything to do with colour constancy?

Abstract:
An enduring question in vision science is whether people perceive the illumination, and if they do, how does that perception affect perception of surface colour, shape and space itself. Despite estimations of the illumination color being central to computational models of colour constancy and implicit in contemporary color correction algorithms for digital images, these computational estimations of illumination color are typically not compared with people’s perceptions. Although measurements of perceived illumination are complicated by interactions with perceived material, shape and space, experiments nonetheless suggest that perceived illumination does not determine perceived surface reflectance, and that the two are qualitatively and phenomenally different. I will describe both physical “plenoptic” measurements of natural illumination, including its spatial, spectral and temporal variations, and compare these with people’s perceptions and computational estimates.

Michael Murdoch, RIT, Rochester (USA)

Michael J. Murdoch is an Associate Professor and Director of the Munsell Color Science Laboratory at the Rochester Institute of Technology with 25 years of research experience focused on color in advanced displays and LED lighting. He is a recipient of an NSF CAREER Award and a Fulbright U.S. Scholar Award. He holds a BS in Chemical Engineering from Cornell, MS in Computer Science from RIT, and PhD in Human-Technology Interaction from Eindhoven University of Technology in The Netherlands.

The Convergence of Lighting and Imaging

Abstract:

Lighting and imaging – at least the display side of imaging – have an interesting co-history that is nearing convergence. Not long ago, both were constrained to vacuum tubes. Lighting has a hundred-year history of glowing filaments followed by an explosive recent decade or two made possible by LEDs. Today’s lights are often connected, smart, video-capable digital systems. Meanwhile, display systems have evolved into emissive, thin form factors from wearable to wall-sized. Contemporary lighting and imaging systems are both concerned with electroluminescence, digital control, content distribution, power efficiency, and visual perception. However, lighting tends to prioritize spectral resolution while imaging tends to prioritize spatial resolution. This talk will cover the physical and perceptual similarities between lighting and imaging systems, the perceptual performance metrics driving their development, and future opportunities their convergence may offer.

Focal Speakers:

Lou Gevaux, LNE - Conservatoire National des Arts et Métier, Paris (France)

Metrological challenges in HDR imaging for luminance measurement

Abstract:
The development of affordable, high-performance CCD and CMOS sensors has led to the rise of imaging-based measurement instruments, such as Imaging Luminance Measurement Devices (ILMDs). These allow entire scenes to be characterized in a single capture, significantly saving time compared to point-based measurements. However, cameras—whether commercial, scientific, or industrial—must be calibrated to serve as accurate measurement tools. Proper calibration of HDR devices is challenging, as it requires multiple corrections that are only valid under specific conditions, making it essential for users to understand these metrological constraints.

Raymondo Schettini, University of Milano Bicocca (Italy)

Object Color Relighting with Progressively Decreasing Information
(More details to follow).

Andrew Stockman, Institute of Ophthalmology University College London (UK)

Individualized colorimetry for correcting observer metamerism failures in narrow band display and lighting.
(More details to follow).

Giuseppe Claudio Guarnera, Department of Computer Science, University of York, UK

Abstract:

Lighting Beneath the Surface: Spectral and Polarised Cues for Next‑Generation Facial Imaging.
(More details to follow).

Hermine Chatoux

Title: How to define physically a color for non-uniform surfaces?

Further information about LIM 2025, Lighting and Imaging, will be available here shortly.

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