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These video lecture excerpts primarily discuss pixel and voxel data structures within the context of computational design, highlighting their importance in handling spatial information. The lectures explain how 2D images (pixels) and 3D volumes (voxels) can be understood as grids of numerical data, similar in concept to graphs but often better suited for continuous information. The speaker elaborates on how these data types enable image processing techniques, including color manipulation and filtering, and explores the use of color spaces and color computation (blending modes) for visualization and analysis. Finally, the lectures demonstrate the application of these data structures and techniques in various fields, such as geographical information systems, remote sensing, and design simulations, emphasizing their role in abstracting reality and facilitating computational workflows.
https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation
These video lecture excerpts primarily discuss pixel and voxel data structures within the context of computational design, highlighting their importance in handling spatial information. The lectures explain how 2D images (pixels) and 3D volumes (voxels) can be understood as grids of numerical data, similar in concept to graphs but often better suited for continuous information. The speaker elaborates on how these data types enable image processing techniques, including color manipulation and filtering, and explores the use of color spaces and color computation (blending modes) for visualization and analysis. Finally, the lectures demonstrate the application of these data structures and techniques in various fields, such as geographical information systems, remote sensing, and design simulations, emphasizing their role in abstracting reality and facilitating computational workflows.
https://namjulee.github.io/njs-lab-public/work?id=2025-introductionToDesignComputation