Method and system for graph-based panoptic segmentation
US11816841B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 17, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Oct 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In methods and systems for graph-based panoptic segmentation of point clouds, points of a point cloud are received with a semantic label from a first category. Further, a plurality of unified cluster feature vectors from a second category are received, each being extracted from a cluster of points in the point cloud. Nodes of a constructed graph represent the unified feature vectors, and edges indicate the relationship between pairs of nodes. The edges are represented as an adjacency matrix indicating the existence or absence of an edge between pairs of nodes. A graph convolutional neural network uses the graph to predict an instance label for each node or an attribute for each edge, wherein the attribute of each edge is used for assigning the instance label to each node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.