公开(公告)号：US10474883B2

公开(公告)日：2019-11-12

申请号：US15803292

申请日：2017-11-03

Applicant: NEC Laboratories America, Inc.

Inventor： Xiang Yu ,  Kihyuk Sohn ,  Manmohan Chandraker ,  Xi Peng

IPC: G06K9/00 ,  G06N3/04 ,  G06N3/08 ,  G08B13/196 ,  G06K9/62

Abstract: A computer-implemented method, system, and computer program product is provided for pose-invariant facial recognition. The method includes generating, by a processor using a recognition neural network, a rich feature embedding for identity information and non-identity information for each of one or more images. The method also includes generating, by the processor using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information. The method additionally includes identifying, by the processor, a user by employing the one or more pose-invariant features. The method further includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.

公开(公告)号：US20180129869A1

公开(公告)日：2018-05-10

申请号：US15803292

申请日：2017-11-03

Applicant: NEC Laboratories America, Inc.

Inventor： Xiang Yu ,  Kihyuk Sohn ,  Manmohan Chandraker ,  Xi Peng

IPC: G06K9/00 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06K9/00295 ,  G06K9/00241 ,  G06K9/00255 ,  G06K9/00275 ,  G06K9/00288 ,  G06K9/00771 ,  G06K9/62 ,  G06N3/04 ,  G06N3/0454 ,  G06N3/08 ,  G08B13/19617 ,  G08B13/19697

Abstract: A computer-implemented method, system, and computer program product is provided for pose-invariant facial recognition. The method includes generating, by a processor using a recognition neural network, a rich feature embedding for identity information and non-identity information for each of one or more images. The method also includes generating, by the processor using a Siamese reconstruction network, one or more pose-invariant features by employing the rich feature embedding for identity information and non-identity information. The method additionally includes identifying, by the processor, a user by employing the one or more pose-invariant features. The method further includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the identified user in the one or more images.