Share Email Print
cover

Proceedings Paper

Real-time object-based image registration using improved MRAN
Author(s): Zhanfeng Yue; Pramod L. Narasimha; Kamesh Subbarao; Michael T. Manry; Pankaj Topiwala
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The registration of images from cameras of di.erent types and/or at different locations is of great interest for both military and civilian applications. Most available techniques are pixel level registration and use intensity correlation to spatially align pixels from the two cameras. Lots of computation is consumed to operate on each pixel of the images and as a result, it would be diffcult to register the images in real time. Furthermore, images from different types of cameras may have different intensity distributions for corresponding pixels which will degrade the registration accuracy. In this paper we propose to use improved Minimal Resource Allocation Network (MRAN) to solve the image registration problem from two cameras. Potential features are added to improve the performance of MRAN. There are two main contributions in this paper - First, weights going directly from inputs to outputs are introduced and these parameters are updated by including in the extended Kalman filter algorithm. Second, initial number of hidden units for the sequential training of MRAN are specified and the means of the initial hidden units are precalculated using Self Organizing Maps. The experimental results show that the proposed algorithm peforms very well both in speed and accuracy.

Paper Details

Date Published: 9 April 2007
PDF: 8 pages
Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 657103 (9 April 2007); doi: 10.1117/12.718680
Show Author Affiliations
Zhanfeng Yue, FastVDO, LLC (United States)
Pramod L. Narasimha, Univ. of Texas at Arlington (United States)
Kamesh Subbarao, Univ. of Texas at Arlington (United States)
Michael T. Manry, Univ. of Texas at Arlington (United States)
Pankaj Topiwala, FastVDO, LLC (United States)


Published in SPIE Proceedings Vol. 6571:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top