Ms. Yan Wang Profile

Yan Wang

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 28 October 2021 Paper

Appearance-based gaze estimation with multi-modal convolutional neural networks

Fei Wang, Yan Wang, Teng Li

Proceedings Volume 11884, 118840L (2021) https://doi.org/10.1117/12.2603762

KEYWORDS: Image fusion, Convolution, Eye models, Feature extraction, Convolutional neural networks, Network architectures, Data fusion

Read Abstract +

Existing methods on appearance-based gaze estimation mostly regress gaze direction from eye images, neglecting facial information and head pose which can be much helpful. In this paper, we propose a robust appearance-based gaze estimation method that regresses gaze directions jointly from human face and eye. The face and eye regions are located based on the detected landmark points, and representations of the two modalities are modeled with the convolutional neural networks (CNN), which are finally combined for gaze estimation by a fused network. Furthermore, considering the various impact of different facial regions on human gaze, the spatial weights for facial area are learned automatically with an attention mechanism and are applied to refine the facial representation. Experimental results validate the benefits of fusing multiple modalities in gaze estimation on the Eyediap benchmark dataset, and the propose method can yield better performance to previous advanced methods.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years