A Probabilistic Neural Network-Based Module for Recognition of Objects from their 3-D Images

Onsy A. Abdel Alim, Amin Shoukry, Neamat A. Elboughdadly and Gehan Abouelseoud
Additional contact information
Onsy A. Abdel Alim: Department of Electrical Engineering, Beirut University, Beirut, Lebanon
Amin Shoukry: Computer Department, Egyptian Japanese University of Science and Technology (EJUST), Alexandria, Egypt
Neamat A. Elboughdadly: Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt
Gehan Abouelseoud: Department of Engineering, Alexandria University, Alexandria, Egypt

International Journal of System Dynamics Applications (IJSDA), 2013, vol. 2, issue 2, 66-79

Abstract: In this paper, a pattern recognition module that makes use of 3-D images of objects is presented. The proposed module takes advantage of both the generalization capability of neural networks and the possibility of manipulating 3-D images to generate views at different poses of the object that is to be recognized. This allows the construction of a robust 3-D object recognition module that can find use in various applications including military, biomedical and mine detection applications. The paper proposes an efficient training procedure and decision making strategy for the suggested neural network. Sample results of testing the module on 3-D images of several objects are also included along with an insightful discussion of the implications of the results.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijsda.2013040105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jsda00:v:2:y:2013:i:2:p:66-79

Access Statistics for this article

International Journal of System Dynamics Applications (IJSDA) is currently edited by Ahmad Taher Azar

More articles in International Journal of System Dynamics Applications (IJSDA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().