/Neural Network For Image Registration And Image Segmentation Trained Using A Registration Simulator
Abstract
Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.
Full Text
What is claimed is:
Apparatuses, systems, and techniques to perform registration among images. In at least one embodiment, one or more neural networks are trained to indicate registration of features in common among at least two images by generating a first correspondence by simulating a registration process of registering an image and applying the at least two images and the first correspondence to a neural network to derive a second correspondence of the features in common among the at least two images.
Timeline
Filed
03/06/2026Published
07/09/2026Granted
Not AvailableIPC Codes(5)
G06T 7/00:Image analysis
G06F 30/20:Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F 30/30)
G06N 3/08:Learning methods