Skip to content

SeyedMuhammadHosseinMousavi/Introduction-to-Facial-Micro-Expressions-Analysis-Using-Color-and-Depth-Images-a-Matlab-Coding-Appr

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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)

Link to the book:

Please cite:

  • 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).

Contact

My MathWorks:

My GitHub:

My LinkedIn:

My ORCID:

My Google Scholar:

My RG:

In order to use the book you need to download the book folder:

Table of Contents

Chapter 1: Introduction

1.1 The MATLAB Libraries
1.2 Outline of Chapters
1.3 A Note on Exercises

Chapter 2: MATLAB Environment, Digital Images, and Sensors

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

Chapter 3: Mid-Level Coding and More Essential Functions

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

Chapter 4: Face Analysis, FER, and FMER

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

Chapter 5: Feature Extraction and Selection

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

Chapter 6: Classification

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

Chapter 7: Neural Networks and Deep Learning Classification

7.1 Neural Networks Classification
7.2 Deep Learning Classification
7.3 Exercises

Chapter 8: A Full Experiment (FMER on IKFDB)

8.1 The Project
8.2 Exercises

Appendix

Appendix A: The MATLAB Image Processing and Analysis Library
Appendix B: Face Datasets
Appendix C: Advanced FER Using Metaheuristics and Neural Gas Networks (NGN)

1 2 2 11

3 1 3 3 3 4 3 6

3 10

4 1 4 8

5 7

6 1

6 2

6 3

7 1 7 3

7 7

8 1

8 2

8 4