SIMULTANEOUS RECOGNITION OF PERSON ATTRIBUTES AND IDENTIFICATION OF PERSON IN ORGANIZING PHOTO ALBUMS Russian patent published in 2020 - IPC G06N3/63 G06N3/08 G06K9/62 

Abstract RU 2710942 C1

FIELD: physics.

SUBSTANCE: invention relates to face recognition on digital images. Technical result is improved efficiency of clustering individuals and recognition of attributes of individuals by training presentations of individuals with preliminary training of a convolution neural network (CNC) for the task of identifying individuals from a pre-assembled database. Disclosed is a method for simultaneous recognition of person attributes and identification of an individual for organizing photo and/or video albums, based on modification of an efficient convolutional neural network (CNC), which extracts representations of individuals, suitable for performing tasks of identifying persons and identifying attributes (age, gender, ethnicity, emotions, and so forth). Method enables to solve all tasks simultaneously without requiring additional CNC.

EFFECT: as a result, a very fast person analysis system is provided.

19 cl, 6 tbl, 6 dwg

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RU 2 710 942 C1

Authors

Savchenko Andrey Vladimirovich

Dates

2020-01-14Published

2018-12-06Filed