公开(公告)号：US20210295543A1

公开(公告)日：2021-09-23

申请号：US16827468

申请日：2020-03-23

Applicant: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.

Inventor： Xibeijia GUAN ,  Chandra Suwandi WIJAYA ,  Vasileios VONIKAKIS ,  Ariel BECK

IPC: G06T7/33 ,  G06T7/00

Abstract: The present subject matter refers a method for training image-alignment procedures in a computing environment. The method comprises communicating one or more images of an object to a user and receiving a plurality of user-selected zones within said one or more through a user-interface. An augmented data-set is generated based on said one or more images comprising the user-selected zones, wherein such augmented data set comprises a plurality of additional images defining variants of said one or more communicated images. Thereafter, a machine-learning based image alignment is trained based on at-least one of the augmented data set and the communicated images.