Gaze Estimation Approach Using Deep Differential Residual Network
Gaze estimation, which is a method to determine where a person is looking at given the person’s full face, is a valuable clue for understanding human intention. Similarly to other domains of computer vision, deep learning (DL) methods have gained recognition in the gaze estimation domain. However, t...
Main Authors: | Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/14/5462 |
Similar Items
-
CI-Net: Appearance-Based Gaze Estimation via Cooperative Network
by: Yuan Luo, et al.
Published: (2022-01-01) -
Gaze Estimation via a Differential Eyes’ Appearances Network with a Reference Grid
by: Song Gu, et al.
Published: (2021-06-01) -
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods
by: Fabricio Batista Narcizo, et al.
Published: (2021-09-01) -
Appearance-Based Gaze Estimation Method Using Static Transformer Temporal Differential Network
by: Yujie Li, et al.
Published: (2023-01-01) -
Webcam-based gaze estimation for computer screen interaction
by: Lucas Falch, et al.
Published: (2024-04-01)