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3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame
Facial expression spotting is the preliminary step for micro- and macro-expression analysis.
A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics
Facial micro-expressions are very brief, spontaneous facial expressions that appear on the face of humans when they either deliberately or unconsciously conceal an emotion.
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification
In this paper, we have proposed the use of traditional computer vision features for detecting foot ulcers among diabetic patients, which represent a cost-effective, remote and convenient healthcare solution.
Objective Classes for Micro-Facial Expression Recognition
The best result achieves 86. 35\% accuracy when classifying the proposed 5 classes on CASME II using HOG 3D, outperforming the result of the state-of-the-art 5-class emotional-based classification in CASME II.
Objective Micro-Facial Movement Detection Using FACS-Based Regions and Baseline Evaluation
This paper proposes an individualised baseline micro-movement detection method using 3D Histogram of Oriented Gradients (3D HOG) temporal difference method.
