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Appearance-Based Gaze Estimation With Deep Learning: A Review and Benchmark
IEEE Transactions on Pattern Analysis and Machine IntelligenceAccepted by ...
Yihua Cheng, Haofei Wang, Feng Lu
exaly +4 more sources
Learning to Personalize in Appearance-Based Gaze Tracking
CoRR, 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
core +2 more sources
Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition [PDF]
2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 Appearance-based gaze estimation provides relatively unconstrained gaze tracking. However, subject-independent models achieve limited accuracy partly due to individual variations. To improve estimation, we propose a novel gaze decomposition method and a single gaze point calibration method, motivated by our finding that the inter-subject squared bias ...
Zhaokang Chen, Bertram E. Shi
openaire +3 more sources
Gaze Estimation Method Using Normalized Coordinate System Classification Based on Apparent [PDF]
Jisuanji gongcheng, 2022 Gaze estimation can naturally reflect people's focus of attention, and plays an important role in understanding human emotions, interests and other subjective consciousness.However, monocular images used for gaze estimation tend to be distorted due to ...
DAI Zhongdong, REN Minhua
doaj +1 more source
Vulnerability of Appearance-based Gaze Estimation
CoRR, 2021 Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e., perturbing the raw image using noise confuses the gaze estimation models.
Mingjie Xu +3 more
openaire +2 more sources
Gaze Tracking Using an Unmodified Web Camera and Convolutional Neural Network
Applied Sciences, 2021 Gaze estimation plays a significant role in understating human behavior and in human–computer interaction. Currently, there are many methods accessible for gaze estimation. However, most approaches need additional hardware for data acquisition which adds
Mohd Faizan Ansari +2 more
doaj +1 more source
Benefits of temporal information for appearance-based gaze estimation [PDF]
ACM Symposium on Eye Tracking Research and Applications, 2020 State-of-the-art appearance-based gaze estimation methods, usually based on deep learning techniques, mainly rely on static features. However, temporal trace of eye gaze contains useful information for estimating a given gaze point. For example, approaches leveraging sequential eye gaze information when applied to remote or low-resolution image ...
Cristina Palmero Cantariño +2 more
openaire +2 more sources
Toward Super-Resolution for Appearance-Based Gaze Estimation
CoRR, 2023 Gaze tracking is a valuable tool with a broad range of applications in various fields, including medicine, psychology, virtual reality, marketing, and safety. Therefore, it is essential to have gaze tracking software that is cost-efficient and high-performing.
Galen O'Shea, Majid Komeili
openaire +2 more sources
Appearance-Based Gaze Estimation Method Using Static Transformer Temporal Differential Network
Mathematics, 2023 Gaze behavior is important and non-invasive human–computer interaction information that plays an important role in many fields—including skills transfer, psychology, and human–computer interaction.
Yujie Li +4 more
doaj +1 more source
Towards Precision in Appearance-based Gaze Estimation in the Wild
CoRR, 2023 Appearance-based gaze estimation systems have shown great progress recently, yet the performance of these techniques depend on the datasets used for training. Most of the existing gaze estimation datasets setup in interactive settings were recorded in laboratory conditions and those recorded in the wild conditions display limited head pose and ...
L. R. D. Murthy +4 more
openaire +2 more sources