We are a community of color professionals who connect across disciplines to share knowledge and experience regarding the science, technology and aesthetics of color. Members include those working in science, industry, education, art and design.
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Danny Rich 1951-2022
With great sadness, the ISCC mourns the loss of our colleague Danny Rich. Danny was a friend and mentor to many in the world of color and the recipient of both the Nickerson and Godlove awards. We are a better organization due to his many contributions and he will be sorely missed.
Color Impact 2023 coincides with the 40th anniversary of the Munsell Color Lab at Rochester Institute of Technology (RIT) where the event will be held!
The above image, a 66,000 handprint from a cave in Maltravieso, Spain, created by an early ancestor echoes our theme “Color and Human Experience” which spans time and crosses disciplines.
Although the print was made by blowing pigment over hand to create a stencil, we are only able to see it because of the technology that allows researchers to see through the layers of calcification that obscure it. The ability to truly “see” color depends on the collaboration among various disciplines, so we invite you to share what you know and learn from others as we celebrate the Lab’s 40th anniversary!Gather with your friends and color colleagues for five days of fascinating keynotes, thought-provoking presentations, hands-on workshops, short courses, field trips, an art exhibit and more. We expect attendees from around the world and from across the spectrum of color professions including Science, Industry, Education, Art & Design.
 Colour enhanced version of a cave wall in Maltravieso with Neanderthal hand stencil, almost completely covered with calcite. It is older than 66,000 years. (Credit: H. Collado). Link to article.
UPCOMING WEBINAR: MARCH 9, 2023
How We Learn To See "Stuff"
Humans excel at visually recognizing materials and inferring their properties. Without touching surfaces, we can usually tell what they would feel like, and we enjoy vivid visual intuitions about how they typically behave. Roland Fleming will present some work in which he shows that an unsupervised neural network trained on images of surfaces spontaneously learns to disentangle reflectance, lighting and shape.
Learn more and register HERE.