Introduction to Facial Micro Expressions Analysis Using Color and Depth Images - Second Edition (2023)
Introduction to Facial Micro Expressions Analysis Using Color and Depth Images (a Matlab Coding Approach) - Second Edition (2023)
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DOI 2: 10.6084/m9.figshare.14396195
- Mousavi, Seyed Muhammad Hossein. "Introduction to Facial Micro Expressions Analysis Using Color and Depth Images: A Matlab Coding Approach (2023)." arXiv preprint arXiv:2307.06396 (2023).
- Seyed Muhammad Hossein Mousavi
- mosavi.a.i.buali@gmail.com Or hossein-mousavi@ieee.org
- ORCID ID: 0000-0001-6906-2152
- https://drive.google.com/file/d/13bEsXjl3aoJ0SdUnTknvIiPxH5FpY855/view?usp=sharing
- https://www.dropbox.com/s/6lxk13otemhy7jh/Introduction%20to%20Facial%20Micro%20Expressions%20Analysis%20Using%20Color%20and%20Depth%20Images%20%28a%20Matlab%20Coding%20Approach%29.rar?dl=0
- https://drive.google.com/file/d/13bEsXjl3aoJ0SdUnTknvIiPxH5FpY855/view?usp=sharing
- https://www.dropbox.com/s/6lxk13otemhy7jh/Introduction%20to%20Facial%20Micro%20Expressions%20Analysis%20Using%20Color%20and%20Depth%20Images%20%28a%20Matlab%20Coding%20Approach%29.rar?dl=0
- https://www.kaggle.com/hosseinmousavi/introduction-to-facial-micro-expressions-analysis
1.1 The MATLAB Libraries
1.2 Outline of Chapters
1.3 A Note on Exercises
2.1 Digital Image
2.2 Color and Depth Images and Sensors
- 2.2.1 Image Sampling and Quantization
2.3 MATLAB Software Environment
2.4 Reading, Writing, and Showing Image Frames in MATLAB
2.5 Spatial and Frequency Domains - 2.5.1 Electromagnetic Spectrums
2.6 Pre-Processing
2.7 Exercises
3.1 Loops and Conditional Statements
- 3.1.1 Loops
- 3.1.2 Conditional Statements
3.2 Functions
3.3 Image Histogram and Noises
3.4 Low and High Pass Filtering in Spatial and Frequency Domains
3.5 Edge Detection
3.6 Morphological Operations
3.7 Image Quality Assessment (IAQ) Metrics
3.8 Group or Batch Processing
3.9 Exercises
4.1 Face Analysis
4.2 Facial Parts and Muscles
4.3 Facial Action Coding System (FACS)
4.4 Facial Expressions and Micro Expressions Recognition (FER and FMER)
4.5 Weighting Facial Parts
4.6 Recording Color and Depth Data with Kinect
4.7 Face Detection and Extraction from Color and Depth Images
4.8 Exercises
5.1 Feature Detection and Extraction in Spatial Domain (Color and Depth)
5.2 Feature Detection and Extraction in Frequency Domain (Color and Depth)
5.3 Feature Selection or Dimensionality Reduction
5.4 Exercises
6.1 Classification Classifiers
- 6.1.1 Cross Validation, Inputs, and Targets
- 6.1.2 Train and Test
6.2 Scatter Plot, Confusion Matrix, and ROC Curve
6.3 Exercises
7.1 Neural Networks Classification
7.2 Deep Learning Classification
7.3 Exercises
8.1 The Project
8.2 Exercises
Appendix A: The MATLAB Image Processing and Analysis Library
Appendix B: Face Datasets
Appendix C: Advanced FER Using Metaheuristics and Neural Gas Networks (NGN)