Article

Inferring human gaze from appearance via adaptive linear regression

Authors:

Feng Lu,

Yusuke Sugano,

Takahiro Okabe,

Yoichi SatoAuthors Info & Claims

ICCV '11: Proceedings of the 2011 International Conference on Computer Vision

Pages 153 - 160

https://doi.org/10.1109/ICCV.2011.6126237

Published: 06 November 2011 Publication History

Abstract

The problem of estimating human gaze from eye appearance is regarded as mapping high-dimensional features to low-dimensional target space. Conventional methods require densely obtained training samples on the eye appearance manifold, which results in a tedious calibration stage. In this paper, we introduce an adaptive linear regression (ALR) method for accurate mapping via sparsely collected training samples. The key idea is to adaptively find the subset of training samples where the test sample is most linearly representable. We solve the problem via l

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Sj DG GChauhan SShekhawat BKumar LGhosh S(2024)Real-time eye tracking using representation learning and regressionProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632416(298-306)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1145/3632410.3632416
Liu SZhou XJiang XWu HShi Y(2021)Face Shows Your Intention: Visual Search Based on Full-face Gaze Estimation with Channel-spatial AttentionProceedings of the 2021 5th International Conference on Innovation in Artificial Intelligence10.1145/3461353.3461362(76-81)Online publication date: 5-Mar-2021
https://dl.acm.org/doi/10.1145/3461353.3461362
Liu SLiu DWu H(2020)Gaze Estimation with Multi-Scale Channel and Spatial AttentionProceedings of the 2020 9th International Conference on Computing and Pattern Recognition10.1145/3436369.3437438(303-309)Online publication date: 30-Oct-2020
https://dl.acm.org/doi/10.1145/3436369.3437438
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Eye 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 complex regression between eye images and gaze ...

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Published In

ICCV '11: Proceedings of the 2011 International Conference on Computer Vision

November 2011

2669 pages

ISBN:9781457711015

Publisher

IEEE Computer Society

United States

Publication History

Published: 06 November 2011

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Sj DG GChauhan SShekhawat BKumar LGhosh S(2024)Real-time eye tracking using representation learning and regressionProceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)10.1145/3632410.3632416(298-306)Online publication date: 4-Jan-2024
https://dl.acm.org/doi/10.1145/3632410.3632416
Liu SZhou XJiang XWu HShi Y(2021)Face Shows Your Intention: Visual Search Based on Full-face Gaze Estimation with Channel-spatial AttentionProceedings of the 2021 5th International Conference on Innovation in Artificial Intelligence10.1145/3461353.3461362(76-81)Online publication date: 5-Mar-2021
https://dl.acm.org/doi/10.1145/3461353.3461362
Liu SLiu DWu H(2020)Gaze Estimation with Multi-Scale Channel and Spatial AttentionProceedings of the 2020 9th International Conference on Computing and Pattern Recognition10.1145/3436369.3437438(303-309)Online publication date: 30-Oct-2020
https://dl.acm.org/doi/10.1145/3436369.3437438
Santini TNiehorster DKasneci EKrejtz KSharif B(2019)Get a gripProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319835(1-10)Online publication date: 25-Jun-2019
https://dl.acm.org/doi/10.1145/3314111.3319835
Liu YLee BRajan DSluzek AMckeown M(2019)CamTypeMachine Vision and Applications10.1007/s00138-018-00997-430:3(407-421)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s00138-018-00997-4
Park SZhang XBulling AHilliges OSharif BKrejtz K(2018)Learning to find eye region landmarks for remote gaze estimation in unconstrained settingsProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204545(1-10)Online publication date: 14-Jun-2018
https://dl.acm.org/doi/10.1145/3204493.3204545
Kelton CRyoo JBalasubramanian ADas SAkella AHowell J(2017)Improving user perceived page load time using gazeProceedings of the 14th USENIX Conference on Networked Systems Design and Implementation10.5555/3154630.3154675(545-559)Online publication date: 27-Mar-2017
https://dl.acm.org/doi/10.5555/3154630.3154675
Zhang XSugano YBulling AGajos KMankoff JHarrison C(2017)Everyday Eye Contact Detection Using Unsupervised Gaze Target DiscoveryProceedings of the 30th Annual ACM Symposium on User Interface Software and Technology10.1145/3126594.3126614(193-203)Online publication date: 20-Oct-2017
https://dl.acm.org/doi/10.1145/3126594.3126614
Lu FChen XSato Y(2017)Appearance-Based Gaze Estimation via Uncalibrated Gaze Pattern RecoveryIEEE Transactions on Image Processing10.1109/TIP.2017.265788026:4(1543-1553)Online publication date: 1-Apr-2017
https://dl.acm.org/doi/10.1109/TIP.2017.2657880
Guo ZZhou QLiu Z(2017)Appearance-based gaze estimation under slight head motionMultimedia Tools and Applications10.1007/s11042-015-3182-476:2(2203-2222)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3182-4
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