Residual coding for geometric point cloud compression
A method of decoding point cloud data includes obtaining a bitstream encoded to conform to one or more constraints; and decoding the bit stream, the decoding of the bit stream comprising: determining a residual value of a first component of an attribute of the point; generating a predicted value of...
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Zusammenfassung: | A method of decoding point cloud data includes obtaining a bitstream encoded to conform to one or more constraints; and decoding the bit stream, the decoding of the bit stream comprising: determining a residual value of a first component of an attribute of the point; generating a predicted value of a second component of the attribute of the point; and reconstructing the second component as a sum of a predicted value of the second component and a product of a scaling factor for the second component and a residual value of the first component, the constraints include constraints that limit a first component of the attribute of the point, a residual value of the first component of the attribute of the point, a second component of the attribute, and a residual value of the second component of the attribute of the point to one or more predefined bit depths.
一种对点云数据进行解码的方法包括:获得被编码以符合一个或多个约束的比特流;以及对比特流进行解码,其中,对比特流进行解码包括:确定点的属性的第一分量的残差值;生成点的属性的第二分量的预测值;以及将第二分量重构为第二分量的预测值与用于第二分量的比例因子和第一分量的残差值的乘积之和,其中,约束包括将点的属性的第一分量、点的 |
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