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4-13 November Short Courses
15 courses from Introductory to advanced across color topics
Monday 16 November* Technical Program: Color Vision and Perception
Keynote: Colour Appearance and Spatio-chromatic Vision, Sophie Wuerger, University of Liverpool (UK)
Tuesday 17 November Technical Program: Computational Color
Keynote: Why are there Colors in the Ocean?, Derya Akkaynak, Florida Atlantic University (US)
Wednesday 18 November Technical Program: Color Applications
Keynote: Rethinking Color Measurement, Ayan Chakrabarti, Washington University in St. Louis (US)
Thursday 19 November Workshops
4 exciting workshops on state-of-the-art exploration and research
*Days are defined based on hour talks occur in New York. The program page shows times of talks in three time zones across the globe.
HIGHLIGHTS
The CIC28 Program has been revised and updated to best accommodate remote participation. Here are some highlights:
- Reduced registration fees to help support the color community during this time.
- No conflicts between short courses. Passport registration options offer further discounts on fees.
- Live presentations, recorded for later or alternative time viewing. Access to recordings until 15 March 2021 allows you to accommodate your schedule, as well as to go back and review details.
With reduced fees, plus no need for funds to travel, this is a great opportunity for more color professionals from around the world to be able to participate in CIC28 and we look forward to sharing this experience with you.
Join an international community of scientists, technologists, and engineers, managers, researchers, and academics from universities and commercial enterprises, to explore and discuss the current work and future advances in color science.
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1 October (Recording Available)
Prof. James Ferwerda and Snehal Padhye, PhD student—Measuring, Modeling, and Visualizing Surface Appearance
Abstract: Real-world surfaces often have complex geometric and material properties. Creating realistic digital models of these surfaces is a topic of great interest to many fields. In this webinar we will discuss the physical processes and visual mechanisms that determine surface appearance and then describe work to develop systems for measuring, modeling, and visualizing the appearances of complex surfaces.
View Recording
8 October 10:00 EDT
Prof. Phil Green—Color Metrology and Color Management
Abstract: As we go beyond the measurement of simple stimuli and define the appearance of more complex objects, illuminated and viewed under a wide range of conditions, we are beginning to answer questions about what we should measure, what appearance correlates should be applied, and how we achieve the levels of traceability and inter-instrument agreement that have been achieved for simple stimuli. Information about color is exchanged via color management, using ICC profiles and color matching modules. Where we need to exchange color data beyond the narrow colorimetric definition in ICC.1, such as spectral data, directional reflection or emission, or colorimetry based on alternative illuminants and observers, we can now use the ICC.2 architecture discussed in this session.
View Recording
15 October 10:00 EDT
Prof. Ming Ronnier Luo—Color Perception and Color Appearance Modeling
Abstract: A general introduction to color perception and color appearance terminology, followed by a discussion of CIE color appearance modeling, and recent research to extend the models.
View Recording
21 October 10:00 EDT
Prof. Michael Murdoch—Additive Color in Displays and Lighting Systems
Abstract: Additive color systems, including flat-panel and projection displays as well as multichannel LED lighting systems, are a perennial topic of research in the color community. All of these color systems share a fundamental architecture: they use additive mixtures of a small number of “primary” colors to create a wide range of color via metamerism. Because displays are generally designed for direct viewing, they emphasize spatial resolution and usually rely on metameric mixtures of RGB primaries. In contrast, lighting systems emphasize spectral resolution with 5, 7, or more primaries in order to pleasingly illuminate objects, scenes, and people. The tradeoffs between spatial resolution and spectral resolution lead to different goals for mixing their primaries, which can be tuned for important performance measures including color gamut, color accuracy, color rendition, circadian effects, observer metamerism, and more.
View Recording
29 October 10:00 EDT
Prof. Maria Vanrell—Color Encoding in Convolutional Neural Networks
Abstract: Convolutional Neural Networks (CNN) have been proposed as suitable engines
to solve computer vision problems. Their impressive performance is a bit
shadowed by their black-box nature and the consequent lack of understanding of
how the visual information is internally represented. This talk shows the
results of dissecting one of these networks trained on more than a million of
images to perform an object recognition task. The task focuses on analyzing how color
is represented by individual neurons by defining a color selectivity index. We
find color opponency clearly comes up in the first layer; in the second layer
color selectivity is tuned to a more dense sampling; and in deeper layers the
neuros are selective to specific colored patterns, like specific colored
objects (e.g., orangish faces), surrounds (e.g., top blue sky) or
object-surround configurations (e.g. red blob in a green surround as a ladybug
detector). Overall, the work is revealing certain analogies between CNN
intermediate representations and evidences reported in studies of color
encoding in primate brains.
Register
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