Sony patents method to measure 3D point cloud quality
Sony describes a method for checking how well a 3D model survives being compressed and reloaded. The system compares how tightly packed the points are in the original model versus the compressed version to calculate a quality score.
In the filing’s own words
An electronic device and method for estimation of density distortion metric for processing of point cloud geometry is provided. The electronic device acquires a reference point cloud, encodes the reference point cloud to generate encoded point cloud data, and decodes the encoded point cloud data to generate a test point cloud. The electronic device further generates a first local density map representing local density values at points of the reference point cloud. The electronic device determines locations in the test point cloud corresponding to locations of the points. The electronic device generates a second local density map representing local density values at the determined locations. The electronic device computes a value of density distortion metric based on the first local density map and the second local density map. The electronic device controls a display device to render a reconstruction quality of the test point cloud based on the computed value.
What exactly they claim (claim 1)
1. An electronic device, comprising: circuitry configured to: acquire a reference point cloud of an object; encode the reference point cloud to generate encoded point cloud data; decode the encoded point cloud data to generate a test point cloud; generate a first local density map of the reference point cloud, wherein the first local density map represents a local density value at each three-dimensional (3D) point of the reference point cloud; determine 3D locations in the test point cloud that correspond to locations of 3D points of the reference point cloud, wherein the each 3D point of the reference point cloud corresponds to the 3D points of the reference point cloud; generate a second local density map of the test point cloud, wherein the second local density map represents a local density value at each 3D location of the determined 3D locations in the test point cloud; quantize, based on a defined number of quantization levels, each of the first local density map and the second local density map; compute, based on the quantization, a value of a density distortion metric for the test point cloud; and control, based on the computed value, a display device to render information associated with a reconstruction quality of the test point cloud.
Facts
- Company
- Sony (SONY GROUP CORPORATION)
- Official title
- Estimation of density distortion metric for processing of point cloud geometry
- Patent number
- US12731286B2
- Application number
- 18306935
- Filed
- Apr 25, 2023
- Granted
- Sep 8, 2026
- Inventors
- 3
- Claims
- 19
Classified under
G06T 7/75 Physics & computingG06T 7/62 Physics & computingG06T 2207/10028 Physics & computingG06T 2207/20081 Physics & computingMore from Sony in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.