US Patent Application 18449874. POINT CLOUD CODING METHODS, ENCODER, AND DECODER simplified abstract

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POINT CLOUD CODING METHODS, ENCODER, AND DECODER

Organization Name

GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.

Inventor(s)

WEI Zhang of Dongguan (CN)

FUZHENG Yang of Dongguan (CN)

SHUAI Wan of Dongguan (CN)

YANZHUO Ma of Dongguan (CN)

JUNYAN Huo of Dongguan (CN)

ZEXING Sun of Dongguan (CN)

POINT CLOUD CODING METHODS, ENCODER, AND DECODER - A simplified explanation of the abstract

This abstract first appeared for US patent application 18449874 titled 'POINT CLOUD CODING METHODS, ENCODER, AND DECODER

Simplified Explanation

The patent application describes methods for coding and decoding point clouds, which are collections of 3D points representing the geometry of an object or scene. The methods involve using Morton codes, which are a way of encoding spatial information, to efficiently represent and reconstruct the geometry and color information of the point cloud.

  • The invention involves coding and decoding methods for point clouds.
  • Morton codes are used to represent the spatial information of the point cloud.
  • The geometry information of the point cloud is reconstructed using the Morton codes.
  • A value of K is determined based on the distribution of the point cloud.
  • K is a positive integer that determines the shifting of the Morton codes.
  • The point cloud is processed iteratively, with each iteration having its own input point cloud.
  • The Morton codes for each iteration's input point cloud are right shifted by K bits.
  • An i-th level of detail (LOD) layer is formed by selecting points after the Morton codes are shifted.
  • Color information is decoded based on the LOD layer.


Original Abstract Submitted

Point cloud coding methods, an encoder, and a decoder are provided. The method includes the following. Morton codes for a point cloud are obtained according to geometry information of the point cloud after geometry decoding is completed and the geometry information is reconstructed. A value of K is determined according to a distribution of the point cloud, where K is a positive integer, where K is a positive integer. The point cloud is determined as an input point cloud of an iteration. Morton codes for an input point cloud of an i-th iteration are right shifted by K bits according to a number of points in the input point cloud of the i-th iteration. An i-th level of detail (LOD) layer is formed with a point selected after the Morton codes are shifted. Color information is decoded according to the LOD layer.