US Patent Application 18018791. POINT CLOUD DATA TRANSMISSION APPARATUS, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION APPARATUS, AND POINT CLOUD DATA RECEPTION METHOD simplified abstract

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POINT CLOUD DATA TRANSMISSION APPARATUS, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION APPARATUS, AND POINT CLOUD DATA RECEPTION METHOD

Organization Name

LG ELECTRONICS INC.


Inventor(s)

Hyunmook Oh of Seoul (KR)

Sejin Oh of Seoul (KR)

POINT CLOUD DATA TRANSMISSION APPARATUS, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION APPARATUS, AND POINT CLOUD DATA RECEPTION METHOD - A simplified explanation of the abstract

This abstract first appeared for US patent application 18018791 titled 'POINT CLOUD DATA TRANSMISSION APPARATUS, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION APPARATUS, AND POINT CLOUD DATA RECEPTION METHOD

Simplified Explanation

The patent application describes a method for transmitting point cloud data, which involves encoding the geometry and attribute data of the point cloud and transmitting them along with signaling data.

  • The geometry data of the point cloud is encoded by dividing it into compression units and generating a prediction tree for each unit.
  • Prediction is performed on the geometry data within each compression unit based on the prediction tree, resulting in compression.
  • The attribute data of the point cloud is encoded based on the geometry data, ensuring a coherent encoding scheme.
  • The encoded geometry data, encoded attribute data, and signaling data are transmitted together, facilitating efficient transmission of the point cloud data.


Original Abstract Submitted

A point cloud data transmission method according to embodiments comprises the steps of: encoding geometry data of point cloud data; encoding attribute data of the point cloud data on the basis of the geometry data; and transmitting the encoded geometry data, the encoded attribute data, and signaling data. The step of encoding the geometry data may comprise the steps of: dividing the geometry data into a plurality of compression units; generating, for each compression unit, a prediction tree on the basis of the geometry data within each compression unit; and compressing the geometry data within the compression unit by performing prediction on the basis of the prediction tree.