While appearance-based gaze estimation is believed to perform well in everyday settings, state-of-the-art learning-based methods are still developed and evaluated on dataset collected under controlled laboratory conditions. These conditions are characterised by limited variability of eye appearances as we...
Calibration-free gaze sensing using saliency maps =-=[25]-=- offered a 2D appearance-based gaze estimation without calibration. They propose to learn a mapping function (Gaussian Process Regresser) ... Y Sugano,Y Matsushita,Y Sato - Twenty-third IEEE Conference on Computer Vision & Pattern ...
Revisiting Data Normalization for Appearance-Based Gaze Estimation - Max Planck Institute for Informatics 解决的问题 基于外观的视线估计方式中,头部姿态和相机拍摄距离的多样性不利于训练的收敛。前期工作通过将输入图像和视线映射到归一化空间,来消除这种三维空间中的多变性,但该种方法的有效性没有明确定论。 作者...
介绍了一种使用了CNN作为主要方法的Gaze Estimation方法。 在多个数据集上使用多种方法进行分析比较,以得到更多对于Gaze Estimation的新理解。 论文主要内容 MPIIGaze数据集 论文作者在文中提到,大部分(截至论文撰写时的)主流Gaze Estimating方法往往基于实验室中受控的环境下采集的数据集,而这类数据集的眼部外表往往变化...
convolutional networks),上篇博客总结的方法(Appearancebased gaze estimation in the wild),iTracker,只考虑双眼部分的iTracker,修改为AlexNet的ITracker。 在与两个数据集,2D与3D两种问题的对比上,论文作者提出的空间权重CNN方法均取得了最好的表现。其中,2D问题上各方法在EYEDIAP数据集上的准确率均低于MPIIGaze数据集,...
内容提示: 1MPIIGaze: Real-World Dataset and DeepAppearance-Based Gaze EstimationXucong Zhang, Yusuke Sugano ∗ , Mario Fritz, Andreas BullingAbstract—Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from amonocular RGB camera without ...
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric RegressionGaze estimationEye appearance Asymmetric regressionEye gaze estimation has been increasingly demanded by recent intelligent systems to accomplish a range of interaction-related tasks, by using simple eye images as input. However, ...
EG-Net: Appearance-based eye gaze estimation using an efficient gaze network with attention mechanism Xinmei Wu, ... Xue Long, in Expert Systems with Applications, 2024 3.1 Approach overview An appearance-based network architecture that applies a two-branch network to full-face images and eye ima...
论文链接:Learning-by-Synthesis for Appearance-Based 3D Gaze Estimation 简介: 视线可以判断人眼注意力,但一般的穿戴设备难以获得高分辨率人眼图像,解决低分辨率视线估计是一个发展方向。基于外观的三维视线估计被定义为一个有监督的回归任务,用于根据输入特征(即一组眼睛图像和一组三维头部姿势)预测三维视线方向。基于...
《A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation 》基于外观的从粗到细的自适应网络视线估计 记忆的迷谷 南昌大学 计算机技术硕士8 人赞同了该文章 解决的问题 前期工作中,将人脸和眼睛图像作为独立或者同级的输入特征,但是忽略了特征之间的内在关系。为了解决了这一问题,论文提出...