Invention Grant
- Patent Title: Siamese reconstruction convolutional neural network for pose-invariant face recognition
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Application No.: US15803292Application Date: 2017-11-03
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Publication No.: US10474883B2Publication Date: 2019-11-12
- Inventor: Xiang Yu , Kihyuk Sohn , Manmohan Chandraker , Xi Peng
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP
- Agent Joseph Kolodka
- Main IPC: G06K9/00
- 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.
Public/Granted literature
- US20180129869A1 Siamese Reconstruction Convolutional Neural Network for Pose-invariant Face Recognition Public/Granted day:2018-05-10
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