Recent Advances in Computer Vision Applications Using Parallel Processing

Description

Preface About This Book Contents A Generic Multicore CPU Parallel Implementation for Fractional Order Digital Image Moments 1 Introduction 2 Background 2.1 Fractional Order Moments 2.2 Shared-Memory Parallel Programming for CPUs 3 Related Work 4 The Proposed Implementation 5 Results and Discussion 5.1 Setup 5.2 Results 6 Conclusions References Computer-Aided Road Inspection: Systems and Algorithms 1 Introduction 2 Road Damage Types 3 Road Data Acquisition 3.1 Sensors 3.2 Public Datasets 4 Road Damage Detection 4.1 2-D Image Analysis/Understanding-Based Approaches 4.2 3-D Road Surface Modeling-Based Approaches 4.3 Hybrid Approaches 5 Parallel Computing Architecture 6 Summary References Computer Stereo Vision for Autonomous Driving: Theory and Algorithms 1 Introduction 2 Autonomous Car System 2.1 Hardware 2.2 Software 3 Autonomous Car Perception 4 Computer Stereo Vision 4.1 Preliminaries 4.2 Multi-view Geometry 4.3 Stereopsis 5 Heterogeneous Computing 5.1 Multi-threading CPU 5.2 GPU 6 Summary References A Survey on GPU-Based Visual Trackers 1 Introduction 2 Parallel Computing 2.1 The Main Difference Between GPU and CPU 2.2 Strategy for Designing a Parallel Algorithm 2.3 Performance Evaluation Metrics 2.4 GPU Programming 3 Levels of Object Tracking Algorithms 3.1 Single Object Tracking 3.2 Multiple Object Tracking (MOT) 4 Conclusion References Accelerating the Process of Copy-Move Forgery Detection Using Multi-core CPUs Parallel Architecture 1 Introduction 2 Background 2.1 Types of Image Forgery 2.2 Copy-Move Forgery Detection Techniques 2.3 OpenMP 3 Related Work 3.1 Block-Based Methods 3.2 Key-Point Based Methods 3.3 Parallel Architectures in Copy-Move Forgery Detection 4 The Proposed Method 5 Results and Discussion 5.1 Setup 5.2 Results 6 Conclusion References Parallel Image Processing Applications Using Raspberry Pi 1 Introduction 2 Raspberry Pi: General Overview 2.1 Memory Bandwidth 2.2 Ethernet Throughput 2.3 WI-FI Throughput 2.4 Power Draw 3 Parallel Image Processing Applications Using RPI 3.1 Medical Applications 3.2 Recognition Applications 3.3 Monitoring Applications 3.4 Compression 3.5 Autonomous Car Driving 4 Conclusion References