| CPC G06T 9/001 (2013.01) [H04N 19/105 (2014.11); H04N 19/169 (2014.11)] | 20 Claims |

|
1. A point cloud attribute prediction method, performed by a computing device, the method comprising:
decoding a point cloud code stream to obtain decoded points in a point cloud;
determining a target association relationship, the target association relationship including an association relationship between neighbor point parameters;
obtaining the neighbor point parameters according to the target association relationship, the neighbor point parameters including at least one of a quantity N of candidate points of a current point, a quantity K of neighbor points, and a preset distance d between the neighbor point and the current point, both N and K being positive integers, and d being a positive number;
selecting at least one neighbor point of the current point from the decoded points according to the neighbor point parameters; and
determining a predicted value of attribute information of the current point according to attribute information of the at least one neighbor point of the current point,
wherein:
the association relationship between the neighbor point parameters includes a mathematical operation relationship between a reference parameter and a non-reference parameter in the neighbor point parameters, the reference parameter being one of the quantity N of candidate points, the quantity K of neighbor points, and the preset distance d, and the non-reference parameter being a parameter in the neighbor point parameters other than the reference parameter.
|