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Image registration for foveated panoramic sensing

Image registration for foveated panoramic sensing Image Registration for Foveated Panoramic Sensing FADI DORNAIKA, University of the Basque Country UPV/EHU, Spain, and IKERBASQUE, Basque Foundation for Science, Spain JAMES H. ELDER, York University, Canada This article addresses the problem of registering high-resolution, small eld-of-view images with low-resolution panoramic images provided by a panoramic catadioptric video sensor. Such systems may nd application in surveillance and telepresence systems that require a large eld of view and high resolution at selected locations. Although image registration has been studied in more conventional applications, the problem of registering panoramic and conventional video has not previously been addressed, and this problem presents unique challenges due to (i) the extreme differences in resolution between the sensors (more than a 16:1 linear resolution ratio in our application), and (ii) the resolution inhomogeneity of panoramic images. The main contributions of this article are as follows. First, we introduce our foveated panoramic sensor design. Second, we show how a coarse registration can be computed from the raw images using parametric template matching techniques. Third, we propose two re nement methods allowing automatic and near real-time registration between the two image streams. The rst registration method is based on matching extracted interest points using a http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) Association for Computing Machinery

Image registration for foveated panoramic sensing

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/2168996.2168997
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Abstract

Image Registration for Foveated Panoramic Sensing FADI DORNAIKA, University of the Basque Country UPV/EHU, Spain, and IKERBASQUE, Basque Foundation for Science, Spain JAMES H. ELDER, York University, Canada This article addresses the problem of registering high-resolution, small eld-of-view images with low-resolution panoramic images provided by a panoramic catadioptric video sensor. Such systems may nd application in surveillance and telepresence systems that require a large eld of view and high resolution at selected locations. Although image registration has been studied in more conventional applications, the problem of registering panoramic and conventional video has not previously been addressed, and this problem presents unique challenges due to (i) the extreme differences in resolution between the sensors (more than a 16:1 linear resolution ratio in our application), and (ii) the resolution inhomogeneity of panoramic images. The main contributions of this article are as follows. First, we introduce our foveated panoramic sensor design. Second, we show how a coarse registration can be computed from the raw images using parametric template matching techniques. Third, we propose two re nement methods allowing automatic and near real-time registration between the two image streams. The rst registration method is based on matching extracted interest points using a

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) – Association for Computing Machinery

Published: May 1, 2012

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