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Awesome GitHub RepositoriesPoint Cloud Compression
Specialized encoding of point cloud geometric attributes into compact binary formats.
Distinct from Point Cloud Processing: Focuses on the compression and size reduction of point clouds, whereas Point Cloud Processing focuses on filtering and segmentation.
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Awesome Point Cloud Compression GitHub Repositories
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- google/draco
google/draco
7,357在 GitHub 上查看Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data. Its primary purpose is to reduce storage size and transmission bandwidth for 3D assets. The project includes a geometry optimizer specifically for glTF file containers to reduce asset footprints. It also features a hardened decoder designed to process malformed or untrusted 3D geometric data safely to prevent memory corruption and crashes. The software covers a broad range of 3D data processing capabilities, including geometric data reconstruction, point attribute management, a
Reduces the size of point cloud data by encoding geometric attributes into a compact binary format.
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