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1. (WO2018126275) MODELING AND LEARNING CHARACTER TRAITS AND MEDICAL CONDITION BASED ON 3D FACIAL FEATURES

Pub. No.:    WO/2018/126275    International Application No.:    PCT/US2018/012092
Publication Date: Fri Jul 06 01:59:59 CEST 2018 International Filing Date: Wed Jan 03 00:59:59 CET 2018
IPC: G06T 17/20
G06T 15/04
G16H 50/20
Applicants: DIRK SCHNEEMANN, LLC
Inventors: SCHNEEMANN, Dirk
Title: MODELING AND LEARNING CHARACTER TRAITS AND MEDICAL CONDITION BASED ON 3D FACIAL FEATURES
Abstract:
A computer-implemented method for identifying character traits associated with a target subject includes acquiring image data of a target subject from an image data source, rendering a 3D image data set, comparing each of a plurality of regions of interest within the 3D image set to a historical image data set to identify active regions of interest, grouping subsets of the regions of interest into one or more convolutional feature layers, wherein each convolutional feature layer probabilistically maps to a pre- identified character trait, and applying a convolutional neural network model to the convolutional feature layers to identify a pattern of active regions of interest within each convolutional feature layer to predict whether a target subject possesses the pre- identified character trait.