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

3D recovery using calibrated active camera

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)
Bess, R. ; Friedrich-Alexander-Univ., Erlangen-Nurnberg, Germany ; Paulus, D. ; Niemann, H.

We describe a system to generate dense depth maps from image sequences recorded from a camera mounted on a robot. Two color images of the sequence are treated as a stereo pair. A color edge detector is applied, lines are segmented from the edge images, and approximations as sequences of straight lines and circular arcs are computed. An initial depth map results from lines of these compound segmentation objects. This map is refined to a dense map by a block matching algorithm. We describe results of a parallel implementation using object-oriented programming techniques. The results show substantial improvements in comparison to a monochrome system with respect to speed, accuracy, and completeness

Published in:

Image Processing, 1996. Proceedings., International Conference on  (Volume:1 )

Date of Conference:

16-19 Sep 1996

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.