The contribution of this work is threefold. First, we introduce the first large-scale dataset for appearance-based gaze estimation in the wild. Our dataset is one order of magnitude larger than existing datasets and significantly more variable with respect to illumination and appearance. Second, we...
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...
本周的主要任务是利用cnn完成视线追踪模型的初步训练,根据论文Appearance-Based Gaze Estimation in the Wild中的实现方法(如下图),我们本周在未进行图像处理的前提下,通过将眼部图像直接喂入cnn进行了初步的训练。 训练采用的数据集为论文中提供的MPIIGaze数据集,在直接使用眼睛图像训练过程中只采用了数据集中左眼的数...
Appearance-based gaze estimation is believed to work well in real-world settings, but existing datasets have been collected under controlled laboratory conditions and methods have been not evaluated across multiple datasets. In this work we study appearance-based gaze estimation in the wild. We presen...
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,...
Paper Author: 1.Introduction This paper introduces a large-scale dataset for appearance-based gaze estimation in the wild. Their own dataset is larger than existing datasets and more variable with respect to illumination and appearance. They present mult
Gaze estimation methods have significantly matured in recent years, but the large number of eye images required to train deep learning models poses significant privacy risks. In addition, the heterogeneous data distribution across different users can significantly hinder the training process. In this wor...
Overall, every method has a step of extracting the relevant features from the eye image and the main difference is in the way these are used for the gaze estimation. The first category usually involves a parametric eye model that is designed with a certain level of realism. In the purest ...
In this study, four computer vision techniques35: facial landmark, gaze estimation, head pose estimation and facial action unit analysis (AU) is used to extract virtual features of children. Facial landmark detection In this study, the Convolutional Experts Constrained Local Model (CE-CLM)36 is...
作者使用的方法出自于论文Learning-by-synthesis for appearance-based 3d gaze estimation. 4.2 数据标准化 4.3 多模态CNN的视线估计 这个神经网络类似于LeNet网络,简单比较一下,发现该CNN最后的全连接层比CNN少了一层。头部角度向量h被加在全连接层的输出上。