Cart (Loading....) | Create Account
Close category search window
 

Head Pose Classification from Low Resolution Images Using Pairwise Non-Local Intensity and Color Differences

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Siriteerakul, T. ; Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan ; Sugimura, D. ; Sato, Y.

In this work, we propose novel image descriptors for identifying head poses in low resolution images. The key novelty of our method is to exploit two types of non-local metric for estimating head poses: non-local intensity difference feature (iDF) and non-local color difference feature (cDF). Unlike the existing methods that one pixel can only represent one head pose information, our proposed features are designed to capture geometry of head pose image via relative information of two-randomly picked pixels. The iDF is designed to capture relative head image regions represented by the two pixels ( e.g. one pixel represent hair while the other represent skin ) without explicitly labeling any of the pixels. On the other hand, the cDF is designed to capture information about whether or not the two randomly-selected pixels belong to the same head image regions, again, without explicitly labeling any of the regions. Our experimental results demonstrate that our descriptors using pair wise differences in intensity and color outperform current state-of-the-art for head pose estimation from extremely low-resolution images.

Published in:

Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on

Date of Conference:

14-17 Nov. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.