Park, S., Spurr, A., Hilliges, O.: Deep pictorial gaze estimation. (September 2018)Seonwook Park, Adrian Spurr, and Otmar Hilliges. 2018. Deep Pictorial Gaze Estimation. (September 2018).S. Park, A. Spurr, and O. Hilliges. Deep pictorial gaze esti- mation. In Proceedings of the ...
keywords : Appearance-based Gaze Estimation, 3D Gaze Estimation 本文研究了单眼输入的视线估计,提出了一个深度学习框架,创新点是提出一个眼睛的中间的图像表示(intermediate pictorial representation),称为 gazemap。把单眼图片预测视线方向的任务转换为单眼图片预测gazemap,再从gazemap预测视线方向,从而简化了问题。因为...
在这些研究中deep pictorial method是非常重要的一项工作,因此今天学习下。 方法:现有的apperance-based方法的核心目标就是学习一个映射函数,直接从原图得到视线方向:f: x-> g,但实际中我们的视线是由眼球中心和瞳孔的连线组成(严谨的来说,是由视网膜中心凹和瞳孔(待确定)组成)。因此,作者希望能得到一个gazemap,...
Deep Pictorial Gaze Estimation Seonwook Park, Adrian Spurr, and Otmar Hilliges AIT Lab, Department of Computer Science, ETH Zurich {firstname.lastname}@inf.ethz.ch Abstract. Estimating human gaze from natural eye images only is a challenging task. Gaze direction can be defined by the pupil- ...
Inspired by this, we propose a 3D semantic information based gaze estimation method. Instead of employing gazemaps as the intermediate representation, we estimate the center of the eyeball directly from the average geometric information of human gaze. ...
In this chapter we look at a wide range of feature learning architectures and deep learning architectures, which incorporate a range of feature models and classification models. This chapter digs deeper into the background concepts of feature learning an
In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and Deep Learning in the Visual Arts. We begin by introducing c