Quantitative Analysis of Facial Symmetry Among Different Expressions
Author:
Funder
National Natural Science Foundation of China - Tianyuan Fund for Mathematics
Natural Science Foundation of Shandong Province, China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9663731/9664014/09664110.pdf?arnumber=9664110
Reference26 articles.
1. Emotional states recognition by interpreting facial features
2. Using Facial Expressions of Students for Detecting Levels of Intrinsic Motivation
3. Facial Expression Recognition Using Hybrid Features of Pixel and Geometry
4. A novel approach for facial expression recognition using local binary pattern with adaptive window
5. Facial Expression Recognition Method Based on Improved VGG Convolutional Neural Network
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