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- W1565510930 abstract "For effective remote visualizations of massive 3D data, volumetric data compression algorithms and transmission protocols are investigated. Quantized Normal Vectors unify and compress 3D volumetric data by quantizing surface normals and volume gradients. With this QNV representation, progressive transmission and Level-of-Detail control become possible. Against the change of network quality or data loss, it is robust enough to get smooth visualization results." @default.
- W1565510930 created "2016-06-24" @default.
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- W1565510930 date "1999-01-01" @default.
- W1565510930 modified "2023-09-25" @default.
- W1565510930 title "Beyond VRML: Efficient 3-D Data Transfer for Remote Visualization" @default.
- W1565510930 cites W2142601066 @default.
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- W1565510930 doi "https://doi.org/10.1007/978-94-011-4780-4_126" @default.
- W1565510930 hasPublicationYear "1999" @default.
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