18039407. DECODING METHOD, DECODING APPARATUS AND PROGRAM simplified abstract (Nippon Telegraph and Telephone Corporation)

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DECODING METHOD, DECODING APPARATUS AND PROGRAM

Organization Name

Nippon Telegraph and Telephone Corporation

Inventor(s)

Shiori Sugimoto of Musashino-shi (JP)

Mayuko Watanabe of Musashino-shi (JP)

Ryuichi Tanida of Musashino-shi (JP)

Hideaki Kimata of Musashino-shi (JP)

DECODING METHOD, DECODING APPARATUS AND PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18039407 titled 'DECODING METHOD, DECODING APPARATUS AND PROGRAM

Simplified Explanation

The decoding method described in this patent application is performed by a decoding device and is used to decode encoded data of a point cloud distributed in a three-dimensional space. Here is a simplified explanation of the abstract:

  • The method starts by acquiring a first slice number from a plurality of slice numbers. These slice numbers indicate different slices associated with the encoded data of the entire point cloud.
  • The first slice number is determined based on a pointer that indicates the first slice. This pointer helps identify the specific slice of the point cloud.
  • Once the first slice number is acquired, the method proceeds to acquire the encoded data of the point cloud of the first space based on the first slice number.
  • Finally, the method decodes the point cloud data of the first space from the acquired encoded data.

Potential applications of this technology:

  • 3D modeling and visualization: This decoding method can be used to efficiently decode and reconstruct point cloud data, which is useful for applications like 3D modeling, virtual reality, and augmented reality.
  • Autonomous vehicles: Point cloud data is often used in the perception systems of autonomous vehicles. This decoding method can help in efficiently processing and decoding the point cloud data captured by sensors.
  • Robotics: Robots that rely on point cloud data for navigation and object recognition can benefit from this decoding method to decode and process the data more effectively.

Problems solved by this technology:

  • Efficient decoding: The method allows for the decoding of specific slices of the point cloud data, reducing the computational burden and improving the efficiency of decoding large point cloud datasets.
  • Data compression: By encoding and decoding point cloud data, this method can help in compressing the data, reducing storage requirements and transmission bandwidth.
  • Scalability: The method can handle point cloud data distributed in a three-dimensional space, making it suitable for large-scale applications where the point cloud covers a significant area.

Benefits of this technology:

  • Improved performance: The decoding method enables faster and more efficient processing of point cloud data, leading to improved performance in applications that rely on this data.
  • Reduced storage and bandwidth requirements: By compressing the point cloud data, this method helps in reducing storage requirements and the amount of data that needs to be transmitted, making it more practical for various applications.
  • Enhanced scalability: The method can handle large-scale point cloud datasets, allowing for the processing and decoding of point cloud data covering a significant area.


Original Abstract Submitted

A decoding method is a decoding method performed by a decoding device, the decoding method including steps of: acquiring, from among a plurality of slice numbers indicating a plurality of slices associated with encoded data of the entire point cloud distributed in a three-dimensional space, a first slice number indicating a first slice associated with encoded data of a point cloud of a first space that is a portion of the three-dimensional space, on the basis of a pointer indicating the first slice; and acquiring the encoded data of the point cloud of the first space on the basis of the first slice number, and decoding point cloud data of the first space from the encoded data of the point cloud of the first space.

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