Invention Grant
- Patent Title: Hybrid deep learning method for recognizing facial expressions
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Application No.: US16012989Application Date: 2018-06-20
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Publication No.: US10679041B2Publication Date: 2020-06-09
- Inventor: Leo Cyrus
- Applicant: Shutterfly, LLC
- Applicant Address: US CA Redwood City
- Assignee: Shutterfly, LLC
- Current Assignee: Shutterfly, LLC
- Current Assignee Address: US CA Redwood City
- Agent Xin Wen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N3/08

Abstract:
A computer implemented method for recognizing facial expressions by applying feature learning and feature engineering to face images. The method includes conducting feature learning on a face image comprising feeding the face image into a first convolution neural network to obtain a first decision, conducting feature engineering on a face image, comprising the steps of automatically detecting facial landmarks in the face image, transforming the facial features into a two-dimensional matrix, and feeding the two-dimensional matrix into a second convolution neural network to obtain a second decision, computing a hybrid decision based on the first decision and the second decision, and recognizing a facial expression in the face image in accordance to the hybrid decision.
Public/Granted literature
- US20190332854A1 Hybrid deep learning method for recognizing facial expressions Public/Granted day:2019-10-31
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