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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Authors
Dates
2020-01-14—Published
2018-12-06—Filed