Method and apparatus for multi-model primitive fitting based on deep geometric boundary and instance aware segmentation
US10410354B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 6, 2018 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | Mar 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing system includes an interface to transmit and receive data via a network, a processor connected to the interface, a memory storing an image processing program modules executable by the processor, wherein the image processing program causes the processor to perform operations. The operations include providing a point cloud of an image including objects into a segmentation network, segmenting point-wisely the point cloud into multiple classes of the objects and detecting boundaries of the objects using the segmentation network, wherein the segmentation network outputs a probability of associating primitive classes of the objects based on the segmented multiple classes and the segmented boundaries, verifying and refining the segmented multiple classes and the segmented boundaries using a predetermined fitting method, and correcting misclassification of the multiple classes of the objects by fitting the primitives to the multiple classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.