A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship

In recent years, the gaze estimation system, as a new type of human-computer interaction technology, has received extensive attention. The gaze estimation model is one of the main research contents of the system. The quality of the model will directly affect the accuracy of the entire gaze estimatio...

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Main Authors: Kaiqing Luo, Xuan Jia, Hua Xiao, Dongmei Liu, Li Peng, Jian Qiu, Peng Han
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/24/9079
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author Kaiqing Luo
Xuan Jia
Hua Xiao
Dongmei Liu
Li Peng
Jian Qiu
Peng Han
author_facet Kaiqing Luo
Xuan Jia
Hua Xiao
Dongmei Liu
Li Peng
Jian Qiu
Peng Han
author_sort Kaiqing Luo
collection DOAJ
description In recent years, the gaze estimation system, as a new type of human-computer interaction technology, has received extensive attention. The gaze estimation model is one of the main research contents of the system. The quality of the model will directly affect the accuracy of the entire gaze estimation system. To achieve higher accuracy even with simple devices, this paper proposes an improved mapping equation model based on homography transformation. In the process of experiment, the model mainly uses the “Zhang Zhengyou calibration method” to obtain the internal and external parameters of the camera to correct the distortion of the camera, and uses the LM(Levenberg-Marquardt) algorithm to solve the unknown parameters contained in the mapping equation. After all the parameters of the equation are determined, the gaze point is calculated. Different comparative experiments are designed to verify the experimental accuracy and fitting effect of this mapping equation. The results show that the method can achieve high experimental accuracy, and the basic accuracy is kept within 0.6<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mo>∘</mo></msup></semantics></math></inline-formula>. The overall trend shows that the mapping method based on homography transformation has higher experimental accuracy, better fitting effect and stronger stability.
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spelling doaj.art-357edc9397664281bb1e47d18d51e4e72023-11-21T01:31:05ZengMDPI AGApplied Sciences2076-34172020-12-011024907910.3390/app10249079A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric RelationshipKaiqing Luo0Xuan Jia1Hua Xiao2Dongmei Liu3Li Peng4Jian Qiu5Peng Han6Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaGuangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, ChinaIn recent years, the gaze estimation system, as a new type of human-computer interaction technology, has received extensive attention. The gaze estimation model is one of the main research contents of the system. The quality of the model will directly affect the accuracy of the entire gaze estimation system. To achieve higher accuracy even with simple devices, this paper proposes an improved mapping equation model based on homography transformation. In the process of experiment, the model mainly uses the “Zhang Zhengyou calibration method” to obtain the internal and external parameters of the camera to correct the distortion of the camera, and uses the LM(Levenberg-Marquardt) algorithm to solve the unknown parameters contained in the mapping equation. After all the parameters of the equation are determined, the gaze point is calculated. Different comparative experiments are designed to verify the experimental accuracy and fitting effect of this mapping equation. The results show that the method can achieve high experimental accuracy, and the basic accuracy is kept within 0.6<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mo>∘</mo></msup></semantics></math></inline-formula>. The overall trend shows that the mapping method based on homography transformation has higher experimental accuracy, better fitting effect and stronger stability.https://www.mdpi.com/2076-3417/10/24/9079gaze estimationmapping equationhomography transformation
spellingShingle Kaiqing Luo
Xuan Jia
Hua Xiao
Dongmei Liu
Li Peng
Jian Qiu
Peng Han
A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
Applied Sciences
gaze estimation
mapping equation
homography transformation
title A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
title_full A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
title_fullStr A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
title_full_unstemmed A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
title_short A New Gaze Estimation Method Based on Homography Transformation Derived from Geometric Relationship
title_sort new gaze estimation method based on homography transformation derived from geometric relationship
topic gaze estimation
mapping equation
homography transformation
url https://www.mdpi.com/2076-3417/10/24/9079
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