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。因为中间表示可以添加额外的监督信息(新的损失函数),所以有利于提升预测...
In this paper, we introduce a novel deep neural network architecture specifically designed for the task of gaze estimation from single eye input. Instead of directly regressing two angles for the pitch and yaw of the eyeball, we regress to an intermediate pictorial representation which in turn ...
Deep Pictorial Gaze Estimation Seonwook Park, Adrian Spurr, and Otmar Hilliges. "Deep Pictorial Gaze Estimation". In European Conference on Computer Vision. 2018 Project page:https://ait.ethz.ch/pictorial-gaze To download the MPIIGaze training data, please runbash get_mpiigaze_hdf.bash ...
@InProceedings{Park_2018_ECCV,author={Park, Seonwook and Spurr, Adrian and Hilliges, Otmar},title={Deep Pictorial Gaze Estimation},booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},month={September},year={2018}}@inproceedings{Liu_2018_ECCV,author={Liu, Songtao and Hu...
and identification through Artificial Neural Networks for the different Visual Arts. While we highlight the contributions of photography and pictorial art, there are also other uses for 3D modeling, including video games, architecture, and comics. The results of the investigations discussed show that ...
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