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RubyConf 2016 - Rainbows! Color Theory for Computers by Lito Nicolai We often use color as a way to add information, whether in design, in UX, or for visualizations. When we visualize information, what's the best possible color scheme to use? How can we display the most possible information? The only way to know is to explore the nature of color! We'll build up to the color-handling code that exists in 'graphics.rb', a Ruby-language visualizations library. For free, we'll end up with intuitive models of computer color spaces and tricks for how to think about common color concepts like gradients and paint mixing.
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The video titled 'Rainbows! Color Theory for Computers' features Lito Nicolai presenting at RubyConf 2016. The talk delves into the intricacies of color theory as it applies to computer graphics, particularly in data visualization. Throughout the presentation, Nicolai emphasizes the importance of color in design, user experience, and visualizations, exploring how to effectively represent information through color. Key points include: - **Introduction to Color Theory**: The speaker introduces the Ruby graphics gem, developed by Ryan Davis, which allows for creative visualizations by manipulating color data. Nicolai discusses the usage of the gem to create appealing graphical representations of data. - **Fluid Dynamics Simulation**: An overview of a fluid dynamics simulation based on Smooth Particle Hydrodynamics is presented. This simulation exemplifies how pressure and movement can be visually represented, enhancing understanding through color mapping, where different pressure levels are assigned specific colors. - **Understanding RGB and Color Perception**: Nicolai explains the mechanics of light perception in humans, involving the rods and cones in our eyes and how they relate to computing color. He details how computers utilize red, green, and blue (RGB) color models to display a full spectrum of colors, emphasizing the biological basis of color perception. - **Color Mixing and the Color Cube**: The concept of a color cube is introduced, demonstrating how colors can be derived from mixing RGB components. Nicolai offers methods for creating smooth color gradients in graphics programming, which is crucial for effective visualizations. - **Helmholtz-Kohlrausch Effect**: The talk addresses the complexities of brightness perception across different colors, detailing how this can affect visualizations. Nicolai discusses theories surrounding this phenomenon and its implications for color display in computer graphics. - **Cube Helix Color Scheme**: A practical application of the discussed theories was demonstrated with the Cube Helix color scheme, which provides a clear and visually appealing approach for color transitions while preserving data integrity. - **Differences in Color Systems**: Nicolai concludes by highlighting the differences between various color systems (such as RGB, CMYK, and paint mixing) and their applications. This illustrates the challenges faced when transitioning between these systems due to the distinct ways colors are produced and perceived in different mediums. The talk ultimately advocates for a deeper understanding of color dynamics to enhance data visualization techniques, emphasizing the artistic and analytical aspects of color representation in computing.
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