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Proceedings Paper

Real-time object-based image registration using multilayer perceptron
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Paper Abstract

The registration of images from cameras of different types and/or at different locations is well researched topic. It is of great interest for both military and civilian applications. Researchers have come up with pixel level registration techniques by exploiting intensity correlations to spatially align pixels from the two cameras. This is a computationally expensive method as it requires pixel level operation on the images and this would make it difficult 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 Multilayer Perceptron (MLP) neural network to solve the image registration problem. The experimental results show that the performance of the proposed method is suited for registration both in speed and accuracy.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 697409 (17 March 2008); doi: 10.1117/12.778091
Show Author Affiliations
Pramod L. Narasimha, FastVDO, Inc. (United States)
Zhanfeng Yue, FastVDO, Inc. (United States)
Pankaj Topiwala, FastVDO, Inc. (United States)


Published in SPIE Proceedings Vol. 6974:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008
Belur V. Dasarathy, Editor(s)

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