Patent ID: 11948091
Assignee: CANON KABUSHIKI KAISHA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A training apparatus, comprising:
at least one circuit and/or processor, the at least one circuit and/or processor being configured to function as:
a training unit configured to train a Neural Network (NN),
wherein the NN comprises a plurality of calculation layers connected hierarchically,
wherein the NN comprises calculation layers for extracting a feature commonly used for identifying an image in respective regions of image data,
wherein the NN includes a plurality of sub-neural networks for performing processing of calculation layers after a specific calculation layer among the calculation layers, and wherein mutually different data, each corresponding to a different sub-region of the image data, from an output of the specific calculation layer are respectively inputted to the plurality of sub-neural networks,
wherein the training unit is further configured to determine parameters of the NN by performing training so as to reduce a cost calculated based on an output from each of the plurality of sub-neural networks, and
wherein features of facial organs are extracted using the plurality of sub-neural networks.