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

A novel approach for depth extraction from single 2D image

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

2 Author(s)
Ranran Feng ; Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA ; Jiahuang Ji

Many methods on extracting 3D information from 2D images have been studied since 1990s, especially the depth information extraction. A novel approach for depth extraction is proposed and implemented in this paper. About 30 images are taken especially for this case study and experiments are conducted on the Stanford Range Image Data. Results show that this approach is generally suitable for most of the images; and performs even better on images with darker background.

Published in:

Systems and Informatics (ICSAI), 2012 International Conference on

Date of Conference:

19-20 May 2012

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.