Search Results for author:
Found 2 papers, 0 papers with code
Face-GPS: A Comprehensive Technique for Quantifying Facial Muscle Dynamics in Videos
We introduce a novel method that combines differential geometry, kernels smoothing, and spectral analysis to quantify facial muscle activity from widely accessible video recordings, such as those captured on personal smartphones.
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding
Although the original FAN model achieves very high out-of-sample performance on the original CK++ videos, it does not perform so well on hidden emotions videos.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
