公开(公告)号：US10402448B2

公开(公告)日：2019-09-03

申请号：US15635387

申请日：2017-06-28

Applicant: Google Inc.

Inventor： Andre Filgueiras de Araujo ,  Jiwoong Sim ,  Bohyung Han ,  Hyeonwoo Noh

IPC: G06K9/62 ,  G06F16/583 ,  G06K9/66 ,  G06K9/46 ,  G06K9/00

Abstract: Systems and methods of the present disclosure can use machine-learned image descriptor models for image retrieval applications and other applications. A trained image descriptor model can be used to analyze a plurality of database images to create a large-scale index of keypoint descriptors associated with the database images. An image retrieval application can provide a query image as input to the trained image descriptor model, resulting in receipt of a set of keypoint descriptors associated with the query image. Keypoint descriptors associated with the query image can be analyzed relative to the index to determine matching descriptors (e.g., by implementing a nearest neighbor search). Matching descriptors can then be geometrically verified and used to identify one or more matching images from the plurality of database images to retrieve and provide as output (e.g., by providing for display) within the image retrieval application.

公开(公告)号：US20190005069A1

公开(公告)日：2019-01-03

申请号：US15635387

申请日：2017-06-28

Applicant: Google Inc.

Inventor： Andre Filgueiras de Araujo ,  Jiwoong Sim ,  Bohyung Han ,  Hyeonwoo Noh

IPC: G06F17/30 ,  G06K9/66 ,  G06K9/46

CPC classification number: G06F16/5854 ,  G06K9/00684 ,  G06K9/4628 ,  G06K9/4671 ,  G06K9/6211 ,  G06K9/66

Abstract: Systems and methods of the present disclosure can use machine-learned image descriptor models for image retrieval applications and other applications. A trained image descriptor model can be used to analyze a plurality of database images to create a large-scale index of keypoint descriptors associated with the database images. An image retrieval application can provide a query image as input to the trained image descriptor model, resulting in receipt of a set of keypoint descriptors associated with the query image. Keypoint descriptors associated with the query image can be analyzed relative to the index to determine matching descriptors (e.g., by implementing a nearest neighbor search). Matching descriptors can then be geometrically verified and used to identify one or more matching images from the plurality of database images to retrieve and provide as output (e.g., by providing for display) within the image retrieval application.