Machine Vision and Image Recognition

✍ Scribed by Johan Pehcevski

• Publisher: Arcler Press
• Year: 2020
• Tongue: English
• Leaves: 348
• Category: Library

✦ Synopsis

Machine Vision and Image Recognition informs the readers about the behavior fusion for visually guided service robots and the approaches and limitation in achieving vision in machine. The readers are informed about the use of beacon tracker for dynamic omnidirectional vision localization and explained the QoE assessment of will transmission. They are explained about the concepts that are there to be learnt in neuromorphic vision systems and told about an automatic assembling system for sealing rings. Also discussed in the book is the design of omnidirectional tilt sensor, modelling and positioning system in sand casting process, raising sow and procreating of processing, augmented reality applications, 3D autonomous navigation line, all of which and even more is based on machine vision.

✦ Table of Contents

Cover
Title Page
Copyright
DECLARATION
ABOUT THE EDITOR
TABLE OF CONTENTS
List of Contributors
List of Abbreviations
Preface
SECTION I: METHODS AND APPROACHES IN MACHINE VISION
Chapter 1 Behavior Fusion for Visually-Guided Service Robots
Introduction
Measurement Model
Design of Controller
Experiments
Results
Conclusion
References
Chapter 2 Dynamic Omnidirectional Vision Localization Using a Beacon Tracker Based on Particle Filter
Introduction
Calibration For Fisheye Lens Camera
Rectification For Fisheye Lens Distortion
Omni-Vision Tracking And Localization Based on Particle Filter
Navigation System
Experimental Result
Conclusion
Acknowledgments
References
Chapter 3 QoE Assessment of Will Transmission Using Vision and Haptics in Networked Virtual Environment
Abstract
Introduction
Will Transmission
Assessment System
Force Calculation
Assessment Methods
Assessment Results
Conclusions
Acknowledgements
Notes
References
Chapter 4 Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?
Abstract
Introduction
Higher-Order Learning In Insects
Neuromorphic Sensory-Motor Systems
Representation of Concepts and Conceptual Relationships
Decentralized Computer Vision Systems
Concluding Remarks
Acknowledgements
References
SECTION II: MACHINE VISION TECHNIQUES IN PRODUCTION / MANUFACTURING PROCESSES
Chapter 5 An Automatic Assembling System for Sealing Rings Based on Machine Vision
Abstract
Introduction
System Composition and Design
Robot Dynamic Target Tracking
Experimental Results
Summary
Acknowledgments
References
Chapter 6 Precise and Robust Large-Shape Formation using Uncalibrated Vision for a Virtual Mold
Introduction
Laser-Assisted Robot Operation Using Camera-Space Manipulation
Experimental Verification
Experiment Result And Discussion
Summary And Conclusion
References
Chapter 7 Design of Omni-Directional Tilt Sensor Based on Machine Vision
Abstract
Introduction
Design of the ODTs
Realization of The ODTs
Experimental Results and Discussion
Conclusions and Future Work
References
Chapter 8 Application of Computer Vision Technology on Raising Sow and Procreating of Processing
Abstract
Introduction
The Principle of Computer Vision
The Infrared Remote Sensing Detection System
Image Processing and Image Analysis
Conclusion
References
SECTION III: MEDICAL AND COGNITIVE APPLICATIONS OF MACHINE VISION
Chapter 9 Sliding Window Based Machine Learning System for the Left Ventricle Localization in MR Cardiac Images
Abstract
Introduction
Sliding Window Machine Learning Approach
The Proposed Automatic Left Ventricle Detection System
Performance Evaluation
Results Discussion
Conclusion
Acknowledgments
References
Chapter 10 Multilevel Cognitive Machine-Learning-Based Concept for Artificial Awareness: Application to Humanoid Robot Awareness Using Visual Saliency
Abstract
Introduction and Problem Stating
Brief Overview of Multilevel Cognitive Concept
From Cognitive Function to Motion-Perception Architecture
From Salient Objects Detectionto Visual Awareness
Conclusion
References
SECTION IV: ROBOTICS AND MOVEMENTS RECOGNITION
Chapter 11 Catadioptric Omni-directional Stereo Vision and Its Applications in Moving Objects Detection
Introduction
Omni-Directional Stereo Vision Imaging System
Unwarping of Omni-Directional Stereo Vision Images
Omni-Directional Stereo Image Rectification
Stereo Matching and Depth Estimation
Applications on Moving Object Detection and Tracking
Acknowledgements
References
Chapter 12 Person Following Robot with Vision-based and Sensor Fusion Tracking Algorithm
Introduction
Person Following Robot ~ Robotics Application of Vision Systems ~
Vision-Based Tracking Algorithm
Problems of Tracking
Vision – LRF Sensor Fusion Tracking
Conclusion
References
Chapter 13 3D Autonomous Navigation Line Extraction for Field Roads Based on Binocular Vision
Abstract
Introduction
Image Processing
Navigation Line Extracting
Experimental Results and Discussion
Conclusions
Acknowledgments
References
Chapter 14 Visual Feedback Balance Control of a Robot Manipulator and Ball-Beam System
Abstract
Introduction
Robotic Ball-Beam Control System
Ball-Beam System Image Processing
Experimental Results
Conclusion
Acknowledgements
References
Index
Back Cover