Point cloud data for the characteristics of local focus, the use of the margin forecast for the point cloud data to predict treatment prediction at the same time, according to IEEE2754 standard floating-point numbers, simplifying the mantissa floating-point numbers, the use of 3. 5 Byte to indicate a floating-point numbers to improve compression results then to predict the data for byte duplicate of the use of the add-byte duplicate of the number of bytes stored Finally treatment of the above data using the first-order adaptive arithmetic coding to compress. Finally received the procedure at compression ratio and memory area occupied by two much better than WinRAR, WinZip compression software

基于Surfel点云数据的压缩算法.pdf

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