View source for 17933920. INTER PREDICTION CODING WITH RADIUS INTERPOLATION FOR PREDICTIVE GEOMETRY-BASED POINT CLOUD COMPRESSION simplified abstract (QUALCOMM Incorporated)

=INTER PREDICTION CODING WITH RADIUS INTERPOLATION FOR PREDICTIVE GEOMETRY-BASED POINT CLOUD COMPRESSION=


==Organization Name==

[[:Category:QUALCOMM Incorporated|QUALCOMM Incorporated]]


[[Category:QUALCOMM Incorporated]]

==Inventor(s)==

[[:Category:Geert Van Der Auwera of San Diego CA (US)|Geert Van Der Auwera of San Diego CA (US)]][[Category:Geert Van Der Auwera of San Diego CA (US)]]

[[:Category:Adarsh Krishnan Ramasubramonian of Irvine CA (US)|Adarsh Krishnan Ramasubramonian of Irvine CA (US)]][[Category:Adarsh Krishnan Ramasubramonian of Irvine CA (US)]]

[[:Category:Luong Pham Van of San Diego CA (US)|Luong Pham Van of San Diego CA (US)]][[Category:Luong Pham Van of San Diego CA (US)]]

[[:Category:Marta Karczewicz of San Diego CA (US)|Marta Karczewicz of San Diego CA (US)]][[Category:Marta Karczewicz of San Diego CA (US)]]

==INTER PREDICTION CODING WITH RADIUS INTERPOLATION FOR PREDICTIVE GEOMETRY-BASED POINT CLOUD COMPRESSION - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17933920 titled 'INTER PREDICTION CODING WITH RADIUS INTERPOLATION FOR PREDICTIVE GEOMETRY-BASED POINT CLOUD COMPRESSION

==Simplified Explanation==

The abstract describes a device and technique for coding point cloud data. Here is a simplified explanation of the abstract:

* The device includes memory and processors.
* The processors determine reference points in a reference point cloud frame of the point cloud data.
* Radius interpolation is applied to the reference points to obtain radius inter predictors for current points in a current point cloud frame.
* The current point cloud frame is coded based on the radius inter predictors.

Potential Applications:

* Point cloud data compression and storage
* 3D modeling and rendering
* Augmented reality and virtual reality applications
* Autonomous vehicles and robotics

Problems Solved:

* Efficient coding and compression of point cloud data
* Accurate representation of 3D objects and scenes
* Reduction of storage and bandwidth requirements for point cloud data

Benefits:

* Improved efficiency in coding and compression of point cloud data
* Enhanced accuracy in representing 3D objects and scenes
* Reduced storage and bandwidth requirements for point cloud data
* Enables faster processing and rendering of point cloud data


==Original Abstract Submitted==

Example devices and techniques for coding point cloud data are described. An example device includes memory configured to store the point cloud data and one or more processors communicatively coupled to the memory. The one or more processors are configured to determine least two reference points in a reference point cloud frame of the point cloud data. The one or more processors are configured to apply radius interpolation to the at least two reference points to obtain at least one radius inter predictor for at least one current point in a current point cloud frame of the point cloud data. The one or more processors are configured to code the current point cloud frame based on the at least one radius inter predictor for the at least one current point in the current point cloud frame.



[[Category:G06T9/00]]
[[Category:G06T9/40]]
[[Category:G06T3/40]]