18552320. METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD GEOMETRY DATA USING AZIMUTHAL CODING MODE simplified abstract (BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.)

METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD GEOMETRY DATA USING AZIMUTHAL CODING MODE

Organization Name

BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.

Inventor(s)

Shuo Gao of Beijing (CN)

METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD GEOMETRY DATA USING AZIMUTHAL CODING MODE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18552320 titled 'METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD GEOMETRY DATA USING AZIMUTHAL CODING MODE

Simplified Explanation

The patent application describes a method of encoding a point cloud into a bitstream of encoded point cloud data representing a physical object. The method involves an azimuthal coding mode for encoding point coordinates based on interval division and context-adaptive binary entropy encoding.

• The method involves dividing an interval to which the point coordinate belongs into left and right half intervals.
• A context is selected based on an apparent angle representing an interval angle seen from a sensor that captured the point.
• Context-adaptive binary entropy encoding is used to encode a bit of the series of bits into the bitstream based on the selected context, indicating which half interval the point coordinate belongs to.

Potential Applications

This technology could be applied in various fields such as 3D modeling, computer graphics, virtual reality, and augmented reality for efficient storage and transmission of point cloud data.

Problems Solved

1. Efficient encoding of point cloud data. 2. Context-adaptive encoding for improved compression.

Benefits

1. Reduced storage space required for point cloud data. 2. Faster transmission of point cloud data. 3. Improved accuracy in representing physical objects.

Potential Commercial Applications

Optimized Point Cloud Data Encoding for Enhanced 3D Applications

Possible Prior Art

Prior art in the field of data compression and encoding techniques for point cloud data may exist, but specific examples are not provided in this patent application.

How does this method compare to existing point cloud data encoding techniques in terms of compression efficiency and speed of encoding/decoding?

This article does not provide a direct comparison with existing point cloud data encoding techniques, so it is unclear how this method stacks up against current practices.

What are the potential limitations or challenges in implementing this method in real-world applications, and how can they be addressed?

The article does not address any potential limitations or challenges that may arise in implementing this method in practical scenarios, leaving room for further exploration and analysis in this area.

Original Abstract Submitted

A method of encoding a point cloud into a bitstream of encoded point cloud data representing a physical object is provided. The method includes an azimuthal coding mode providing a series of bits for encoding a coordinate of a point of the point cloud. The method includes: dividing an interval, to which the point coordinate belongs to, into a left half interval and a right half interval; selecting a context based on an apparent angle (AA) representing an interval angle seen from a sensor that captured the point; and context-adaptive binary entropy encoding a bit (b) of the series of bits, into the bitstream, based on the selected context, the encoded bit (b) indicating which of the two half intervals the point coordinate belongs to.