Appearance-based gaze estimation in 2-dimensional screen coordinates–the prediction of the users' gaze from webcam footage–cannot yet compete in accuracy with infrared (IR) eye trackers. Yet by circumventing the constraints of requiring dedicated hardware, it shows great potential in many ...
The task of pose-independent appearance-based gaze estimation is to learn the mapping between gaze directions and eye appearances, which cannot be compen sated for by virtually rotating and scaling the camera. 与[39]类似,我们将图像和头部姿态空间归一化为极坐标角度空间。从根本上说,物体的姿态有六...
Eye-net从两幅眼睛图像中估计视线残差,以优化基本视线方向。接下来,提出了一种注意力分量,用于自适应地为两个眼睛特征分配权重。通过将加权的两眼特征相加,获得合适的眼睛特征。由于视线残差与基本的视线位置有关,将从粗到精的过程推广为一个二元模型,以连接Face-net和Eye-net。最后,CA-Net将基本视线方向和视线...
Yafei WangXianping FuSpringer, SingaporeInternational Conference on Internet Multimedia Computing and ServiceZhao T, Wang Y, Fu X. Refining Eye Synthetic Images via Coarse- to-Fine Adversarial Networks for Appearance-Based Gaze Estima- tion[C]//International Conference on Internet Multimedia Computing ...
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 whe...
proposed the first deep CNN for gaze estimation in the wild [49, 51], which improved accuracy significantly. To further improve the accuracy, researchers have proposed en- hancements, such as employing the information outside the eye region [19, 50], fo...
Eye image e CNN model training/test Gaze angle vector g Data Normalisation Fig. 1: Overview of GazeNet – appearance-based gaze estimation using a deep convolutional neural network (CNN). across multiple datasets. This work aims to shed light on these questions and make the next step towards...
At present a lot of gaze estimation methods can get accurate result under ideal conditions, but some practical issues are still the biggest challenges affect the accuracy such as head motion and eye blinking. Improving the accuracy of gaze estimation and the tolerance of head motion are common ta...
Paper tables with annotated results for Offset Calibration for Appearance-Based Gaze Estimation via Gaze Decomposition
facilitate cross-dataset evaluations, 37,667 images were manually annotated with eye corners, mouth corners, and pupil centres. Second, we present an extensive evaluation of state-of-the-art gaze estimation methods on three current datasets, including MPIIGaze. We study key challenges including ...