Recent Advances in Computer Vision Applications Using Parallel Processing

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