Measurements and Instrumentation for Machine Vision

Cover
Title Page
Copyright Page
Preface
Acknowledgement
Table of Contents
List of Contributors
1. Machine Learning Approaches for Single Photon Direct Time of
Flight Imaging
2. Experimental Evaluation of Depth Measurements Accuracy in
Indoor Environments
3. Design and Evaluation Support System for Convolutional Neural
Network, Support Vector Machine and Convolutional Autoencoder
4. Classification of Objects in IR Images Using Wavelet Filters Based
on Lifting Scheme
5. Image Dataset Augmentation: A Survey and Taxonomy
6. A Filter-based Feature Selection Methodology for
Vehicle/Non-Vehicle Classificatio
7. Augmented Visual Inertial Wheel Odometry Through Slip
Compensation
8. Methodology for Developing Models of Image Color of Terrain with Landmarks for Their Detection and Recognition by Autonomous Mobile Robots
9. Machine Vision: A Measurement Tool for Agricultural Automation
10. Occlusion-Aware Disparity-based Direct Visual Servoing of
Mobile Robots
11. Development of a Software and Hardware Complex for the
Visualization of Sedimentation Inside a Vortex Chamber
12. Machine Vision for Astronomical Images using The Modern Image Processing Algorithms Implemented in the CoLiTec Software
13. Gallium Oxide UV Sensing in Contemporary Applications
14. Technical Vision System for Alive Human Detection in an Optically
Opaque Environment
15. The Best Linear Solution for a Camera and an Inertial Measurement
Unit Calibration
16. Methods of Forming and Selecting a Reference Image to Provide
High-Speed Navigation for Maneuvering Aircraft
17. Application of Fibre Bragg Grating Arrays for Medical Diagnosis
and Rehabilitation Purposes
Index