Results 61 to 70 of about 71,031 (175)
End-to-End Gaze Estimation Method for Surveillance Camera Images
IEEE AccessGaze estimation technology has been widely used in the field of computer vision in recent years. It has been utilized in various fields, such as automotive systems, human-computer interaction and augmented reality (AR) / virtual reality (VR).
Keiji Uemura +2 more
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Deep Learning-Based Gaze Estimation: A Review
RoboticsGaze estimation, a critical facet of understanding user intent and enhancing human–computer interaction, has seen substantial advancements with the integration of deep learning technologies.
Ahmed A. Abdelrahman +2 more
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Towards Self-Supervised Gaze Estimation
CoRR, 2022 BMVC 2022.
Farkhondeh A. +3 more
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Gaze Estimation via Strip Pooling and Multi-Criss-Cross Attention Networks
Applied Sciences, 2023 Deep learning techniques for gaze estimation usually determine gaze direction directly from images of the face. These algorithms achieve good performance because face images contain more feature information than eye images.
Chao Yan +4 more
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3D Gaze Estimation for Head-Mounted Eye Tracking System With Auto-Calibration Method
IEEE Access, 2020 The general challenges of 3D gaze estimation for head-mounted eye tracking systems are inflexible marker-based calibration procedure and significant errors of depth estimation.
Meng Liu, Youfu Li, Hai Liu
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Development Of Eye Gaze Estimation System Using Two Cameras [PDF]
, 2017 Eye Gaze is the direction where a person is looking at. It is suitable to be used as a type of natural Human Computer Interface (HCI). Current researches uses infrared or LED to locate the iris of the user to have better gaze estimation accuracy compared
Neoh , Yu Zun
core
, 2017 Gaze estimation systems determine where someone is looking. Gaze is used for a wide range of applications including market research, usability studies, and gaze-based interfaces. Traditional equipment uses special hardware. To bring gaze estimation mainstream, researchers are exploring approaches that use commodity hardware alone. My work addresses two
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Suppressing Uncertainty in Gaze Estimation
Proceedings of the AAAI Conference on Artificial IntelligenceUncertainty in gaze estimation manifests in two aspects: 1) low-quality images caused by occlusion, blurriness, inconsistent eye movements, or even non-face images; 2) uncorrected labels resulting from the misalignment between the labeled and actual gaze points during the annotation process.
Shijing Wang, Yaping Huang
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Learning to Personalize in Appearance-Based Gaze Tracking
, 2019 Personal variations severely limit the performance of appearance-based gaze tracking. Adapting to these variations using standard neural network model adaptation methods is difficult.
Lindén, Erik +2 more
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Gaze estimation model for eye drawing [PDF]
CHI '06 Extended Abstracts on Human Factors in Computing Systems, 2006 This paper describes a model that can be employed in eye drawing software applications. Unlike most of the existing interfaces for eye typing, eye drawing focuses on small target selection and moves the cursor to a precise location. This is made possible by a proposed Gaze Estimation Model which interprets users' interest when they want to draw new ...
Alvin W. Yeo, Po-Chan Chiu
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