FALSE FACE REPRESENTATION IDENTIFICATION

Patent №

US 9,251,427

Granted

2016-02-02

Filed 2014

Owner

MICROSOFT CORPORATION

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14458134

Systems and methods for identifying a false representation of a human face are provided. In one example, a method for identifying a false representation of a human face includes receiving a plurality of different data streams captured by a respective plurality of sensors of differing sensor types sensing a candidate face. In a cascading plurality of stages, one or more of the different data streams are analyzed, wherein each of the stages comprises a different analysis. In one of the cascading plurality of stages, the method determines that one or more of the different data streams corresponds to a false representation of the human face. Based on determining that one or more of the different data streams corresponds to a false representation of a human face, an indication of the false representation is outputted.

VisionAI hardwareG06V 40/40G06T 7/40G06T 7/50G06T 7/60G06T 7/90G06V 40/16G06V 40/165G06V 40/166+3 more

AI classification

Vision1.00
AI hardware0.52
Machine learning0.36
Knowledge representation0.13
Natural language0.03
Planning0.01
Evolutionary computation0.00
Speech0.00

Ownership

MICROSOFT CORPORATION

assignment · 335200060

Assignors

CHU, CHUN-TE, CONRAD, MICHAEL J., WU, DIJIA, LI, JINYU

On an employer assignment, the assignors are typically the inventors.

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