
包邮THREE-DIMENSIONAL GAZE ESTIMATION FOR SINGLE CAMERA SYSTEM
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图文详情
- ISBN:9787502497996
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 开本:其他
- 页数:119
- 出版时间:2024-03-01
- 条形码:9787502497996 ; 978-7-5024-9799-6
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
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