We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

3D object recognition using fuzzy mathematical modeling of 2D images

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)
Sheta, A.F. ; Comput. Sci. Dept., WISE Univ., Amman, Jordan ; Baareh, A. ; Al-Batah, M.

Recent research in the area of 3D object recognition claim that it is possible to recognize the objects based on 2D images. The recognition process depends on using set of features extracted from the collected images. In this paper, we captured 792 images for eleven 3D Polyhedral objects. A complete image processing stages were implemented. They include image acquisition, pre-processing, feature extraction and classification using a fuzzy mathematical model of the extracted features. The recognition results show that the proposed fuzzy system is significant for classifying the 3D objects with excellent performance.

Published in:

Multimedia Computing and Systems (ICMCS), 2012 International Conference on

Date of Conference:

10-12 May 2012