The investigation and implementation of real-time face pose and direction estimation on mobile computing devices

Deqian Fu; Lisheng Gao; Seong Tae Jhang

doi:10.1117/12.968586

8 June 2012 The investigation and implementation of real-time face pose and direction estimation on mobile computing devices

Deqian Fu, Lisheng Gao, Seong Tae Jhang

Author Affiliations +

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833449 (2012) https://doi.org/10.1117/12.968586
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

The mobile computing device has many limitations, such as relative small user interface and slow computing speed. Usually, augmented reality requires face pose estimation can be used as a HCI and entertainment tool. As far as the realtime implementation of head pose estimation on relatively resource limited mobile platforms is concerned, it is required to face different constraints while leaving enough face pose estimation accuracy. The proposed face pose estimation method met this objective. Experimental results running on a testing Android mobile device delivered satisfactory performing results in the real-time and accurately.

Citation Download Citation

Deqian Fu, Lisheng Gao, and Seong Tae Jhang "The investigation and implementation of real-time face pose and direction estimation on mobile computing devices", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833449 (8 June 2012); https://doi.org/10.1117/12.968586

ACCESS THE FULL ARTICLE

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