作者：刘佳惠 迟健男
页数：119
出版社：冶金工业出版社
出版日期：2024
ISBN：9787502497996
电子书格式：PDF
PDF下载地址
内容简介
Copyright ¤Metallurgical Industry Press 2024.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the copyright owner.
目录
Chapter 1 Introduction
1.1 Background and motivation
1.2 Outline of the book
Chapter 2 Preliminaries
2.1 Basic structure of the eyeball
2.2 Gaze-related eyeball information
2.3 Eye movement forms
2.4 Visual information used for gaze tracking
2.5 Classification of gaze tracking systems
Chapter 3 System Calibration for Gaze Tracking Systems
3.1 Camera calibration
3.2 Global calibration of light sources and screen
3.3 Ball-assisted calibration of light sources and screen
Chapter 4 Image Processing for Gaze Tracking Systems
4.1 Eye region detection
4.2 Iris detection
4.3 Pupil detection
4.4 Glint localization
Chapter 5 3-D Gaze Estimation Based on Iris Radius Calibration for Systems with Single Camera and Single Light Source
5.1 Algorithms
5.1.1 Iris radius calibration
5.1.2 Kappa angle calibration
5.1.3 Ga ze estimation
5.1.4 Ga ze optimization
5.2 Simulations
5.2.1 Feasibility validation
5.2.2 Error source analysis
5.3 Practical experiments
5.3.1 Accuracy evaluation
5.3.2 Performance analysis
Chapter 6 3-D Gaze Estimation Based on Corneal Radius Calibration for Systems with Single Camera and Single Light Source
6.1 Algorithms
6.1.1 Iris radius calibration
6.1.2 Corneal radius calibration
6.1.3 Gaze estimation
6.1.4 Ga ze optimization
6.2 Simulations
6.2.1 Feasibility validation
6.2.2 Error source analysis
6.3 Practical experiments
6.3.1 Accuracy evaluation
6.3.2 Performance analysis
Chapter 7 3-D Gaze Estimation for Systems with Single Camera and Two Collinear Light Sources
7.1 Algorithms
7.1.1 Corneal radius calibration
7.1.2 Optical axis construction
7.1.3 Ga ze estimation
7.2 Simulations
7.2.1 Feasibility validation
7.2.2 Error source analysis
7.3 Practical experiments
7.3.1 Accuracy evaluation
7.3.2 Performance analysis
Chapter 8 3-D Gaze Estimation Based on Cross-Ratio Using Weighted Average and Polynomial Compensation
8.1 Algorithms
8.1.1 Pupil reference plane determination
8.1.2 Cross-ratio-based screen point calculation
8.1.3 Ga ze estimation
8.2 Simulations
8.2.1 Feasibility validation
8.2.2 Error source analysis
8.3 Practical experiments
8.3.1 Accuracy evaluation
8.3.2 Performance analysis
References
1.1 Background and motivation
1.2 Outline of the book
Chapter 2 Preliminaries
2.1 Basic structure of the eyeball
2.2 Gaze-related eyeball information
2.3 Eye movement forms
2.4 Visual information used for gaze tracking
2.5 Classification of gaze tracking systems
Chapter 3 System Calibration for Gaze Tracking Systems
3.1 Camera calibration
3.2 Global calibration of light sources and screen
3.3 Ball-assisted calibration of light sources and screen
Chapter 4 Image Processing for Gaze Tracking Systems
4.1 Eye region detection
4.2 Iris detection
4.3 Pupil detection
4.4 Glint localization
Chapter 5 3-D Gaze Estimation Based on Iris Radius Calibration for Systems with Single Camera and Single Light Source
5.1 Algorithms
5.1.1 Iris radius calibration
5.1.2 Kappa angle calibration
5.1.3 Ga ze estimation
5.1.4 Ga ze optimization
5.2 Simulations
5.2.1 Feasibility validation
5.2.2 Error source analysis
5.3 Practical experiments
5.3.1 Accuracy evaluation
5.3.2 Performance analysis
Chapter 6 3-D Gaze Estimation Based on Corneal Radius Calibration for Systems with Single Camera and Single Light Source
6.1 Algorithms
6.1.1 Iris radius calibration
6.1.2 Corneal radius calibration
6.1.3 Gaze estimation
6.1.4 Ga ze optimization
6.2 Simulations
6.2.1 Feasibility validation
6.2.2 Error source analysis
6.3 Practical experiments
6.3.1 Accuracy evaluation
6.3.2 Performance analysis
Chapter 7 3-D Gaze Estimation for Systems with Single Camera and Two Collinear Light Sources
7.1 Algorithms
7.1.1 Corneal radius calibration
7.1.2 Optical axis construction
7.1.3 Ga ze estimation
7.2 Simulations
7.2.1 Feasibility validation
7.2.2 Error source analysis
7.3 Practical experiments
7.3.1 Accuracy evaluation
7.3.2 Performance analysis
Chapter 8 3-D Gaze Estimation Based on Cross-Ratio Using Weighted Average and Polynomial Compensation
8.1 Algorithms
8.1.1 Pupil reference plane determination
8.1.2 Cross-ratio-based screen point calculation
8.1.3 Ga ze estimation
8.2 Simulations
8.2.1 Feasibility validation
8.2.2 Error source analysis
8.3 Practical experiments
8.3.1 Accuracy evaluation
8.3.2 Performance analysis
References