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Appearance-Based Gaze Estimation via Uncalibrated Gaze Pattern Recovery
IEEE Transactions on Image Processing, 2017Aiming at reducing the restrictions due to person/scene dependence, we deliver a novel method that solves appearance-based gaze estimation in a novel fashion. First, we introduce and solve an "uncalibrated gaze pattern" solely from eye images independent of the person and scene.
Feng Lu, Xiaowu Chen, Yoichi Sato
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Appearance-Based Gaze Estimation Using Visual Saliency
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013We propose a gaze sensing method using visual saliency maps that does not need explicit personal calibration. Our goal is to create a gaze estimator using only the eye images captured from a person watching a video clip. Our method treats the saliency maps of the video frames as the probability distributions of the gaze points.
Yasuyuki Matsushita, Yoichi Sato
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Unsupervised Outlier Detection in Appearance-Based Gaze Estimation
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019Appearance-based gaze estimation maps RGB images to estimates of gaze directions. One problem in gaze estimation is that there always exist low-quality samples (outliers) in which the eyes are barely visible. These low-quality samples are mainly caused by blinks, occlusions (e.g. by eye glasses), blur (e.g.
Zhaokang Chen +2 more
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Iris Geometric Transformation Guided Deep Appearance-Based Gaze Estimation
IEEE Transactions on Image ProcessingThe geometric alterations in the iris's appearance are intricately linked to the gaze direction. However, current deep appearance-based gaze estimation methods mainly rely on latent feature sharing to leverage iris features for improving deep representation learning, often neglecting the explicit modeling of their geometric relationships.
Wei Nie, Weihong Ren, Hanlin Zhang
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Appearance-based eye gaze estimation
Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings., 2003We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking specific optical phenomena like corneal reflection and the Purkinje images. We employ an appearance manifold model, but instead of using a densely sampled spline to perform the ...
Kar-Han Tan +2 more
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Appearance-based gaze estimation using kinect
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013Human gaze tracking has gathered much attention due to its capability to detect intuitive attention. Appearance-based methods can work with a single camera in ordinary conditions to track human gaze. An effective way to generate eye appearances is proposed using the Kinect.
Jinsoo Choi +3 more
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Revisiting data normalization for appearance-based gaze estimation
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018Appearance-based gaze estimation is promising for unconstrained real-world settings, but the significant variability in head pose and user-camera distance poses significant challenges for training generic gaze estimators. Data normalization was proposed to cancel out this geometric variability by mapping input images and gaze labels to a normalized ...
Xucong Zhang +2 more
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Appearance-based Gaze Estimation using Attention and Difference Mechanism
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021Appearance-based gaze estimation problem received wide attention over the past few years. Even though model-based approaches existed earlier, availability of large datasets and novel deep learning techniques made appearance-based methods achieve superior accuracy than model-based approaches.
L. R. D. Murthy, Pradipta Biswas
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Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014Inferring human gaze from low-resolution eye images is still a challenging task despite its practical importance in many application scenarios. This paper presents a learning-by-synthesis approach to accurate image-based gaze estimation that is person- and head pose-independent.
Yusuke Sugano +2 more
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Appearance based user-independent gaze estimation
Proceedings of the 16th International Conference on Multimodal Interaction, 2014An ideal gaze user interface should be able to accurately estimates the user's gaze direction in a non-intrusive setting. Most studies on gaze estimation focus on the accuracy of the estimation results, imposing important constraints on the user such as no head movement, intrusive head mount setting and repetitive calibration process.
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