By Topic

Generation of dense range maps by data fusion from active and passive colour stereo vision

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
$33 $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)
A. Knoll ; Dept. of Comput. Sci., Bielefeld Univ., Germany ; R. Schroder ; A. Wolfram

The problem of correspondence search in a stereo system may be alleviated if an active light source projects colour codes onto the scene. To reduce the amount of ambiguous or false matches, additional information drawn from feature-based passive stereo techniques can be used In this paper we discuss the application of fuzzy data fusion techniques to a dual-mode stereo system. Information from passive stereo is used whenever the active procedure cannot find an unambiguous match. The algorithm presented in the paper uses a fuzzy rule-based approach to integrate crisp as well as fuzzy input data. It is shown that the combination of data obtained in both modes of operation may lead to a significant increase in the number of matches meeting a certain credibility criterion. We present some of our experimental results based on real stereo image data and conclude the paper with a discussion of perspectives for possible future research

Published in:

Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on

Date of Conference:

8-11 Dec 1996