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...
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...
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 multimodal convolutional neural networks for appearance-based gaze estimation and th...
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,...
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...
Gaze 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, learning the highly......
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。
《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...
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 ...