AI Briefinghuman-atlas: A 3D Human Body Map Dissected into 2,234 Meshes
ashemag/human-atlas
About the project
An interactive 3D viewer based on the adult male anatomical data from BodyParts3D. It allows users to select from 2,234 individual meshes, toggle 15 anatomical layers, and search through 3,432 names. Beyond simple model viewing, the focus is on dissecting structures and examining detailed information.
An optimized rendering approach uses GPU textures to control translation, visibility, and selection states. Orbit controls and exploded view transitions operate smoothly without thousands of draw calls. Geometric simplification was applied for browser performance, while maintaining the precision of the original meshes.
Built as a static site with React, Three.js, and shadcn/ui, it can be run locally immediately without API keys or accounts. It supports Vercel deployment and features an intuitive layout for control panels and detailed information on mobile environments. Designed as an educational exploration tool, it is not suitable for diagnostic or surgical purposes.
ashemag/human-atlas
Open-source 3D anatomy explorer: 2,234 selectable BodyParts3D meshes, system layers, search, and exploded views.
TypeScript
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