Intro
Preface
Organization
Contents
Computer Vision and Image Processing
Human Action Recognition Using Attention Mechanism and Gaze Information
1 Introduction
2 Related Works
2.1 HOI Detection
2.2 Gaze Following
3 The Proposed Idea
3.1 The Basic Model
3.2 The Proposed Structure
3.3 Gaze Heatmap and the Improved iCAN Module
3.4 Depth-Wise Separable Convolution
4 Experimental Results
4.1 Dataset
4.2 Evaluation Metrics
4.3 Implementation Details
4.4 Quantitative Evaluation
4.5 Qualitative Evaluation
4.6 Ablation Study

5 Conclusion
References
Face Recognition Under Partial Occlusion: A Detection and Exclusion of Occluded Face Regions Approach
1 Introduction
2 Literature Review
3 The Proposed Framework
3.1 Training Phase
3.2 Testing Phase
4 Experiments
4.1 Implementation Details
4.2 Evaluation Metrics
4.3 Non-occluded Region Retrieval Using Skin Detection
4.4 Non-occluded Region Retrieval Using Haar Cascade Classifiers
4.5 Effect of the Number of Images in Learning a Class
5 Conclusion
References
Color Vision Deficiency and Live Recoloring
1 Introduction

2 Background and Related Work
3 Proposed System
4 Experiments and Results
5 Conclusion
References
Real Time Handling Occlusion in Augmented Reality Based on Photogrammetry
1 Introduction
2 Related Work
2.1 Contour-Based Methods
2.2 Depth-Based Method
2.3 3D Reconstruction Based Method
3 System Overview
3.1 Photogrammertic 3D Modeling
3.2 AR Application Development with Handling Occlusion
4 Results and Discussion
4.1 Experimental Results
4.2 Discussion
5 Conclusion
References

Colour Image Encryption Based on Fisher-Yates Algorithm and Chaotic Maps
1 Introduction
2 Materials and Methods
2.1 2D Logistic-Tent Map
2.2 Fisher-Yates Algorithm
2.3 Diffusion Using 2D LTM
2.4 Proposed Method for Encrypting Colour Image
3 Results and Discussion
3.1 Statistical Attack Analysis
4 Conclusion
References
Robust SLAM System by Incorporating UWB Positioning and Landmark Localization
1 Introduction
2 Related Work
3 Proposed Approach
4 Experiments
5 Conclusion
References
Intelligent Systems for Medical Diagnosis

Deep Learning for Liver Disease Prediction
1 Introduction
2 Related Works
3 Materials and Methods
3.1 Datasets
3.2 Preprocessing
3.3 Model Building
4 Experimental Results
4.1 Model Evaluation
5 Results and Discussion
5.1 Experiments on BUPA Dataset
5.2 Experiments on ILPD Dataset
6 Conclusion
References
Pre-trained Backbones Effect on Nuclei Segmentation Performance
1 Introduction
2 Background
3 Methods
3.1 VGG16
3.2 MobileNet
3.3 EfficientNet B3
4 Experiments and Results
4.1 Triple Negative Breast Cancer Dataset