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Feature coverage for better homography estimation: An application to image stitching

Bostanci, E and Kanwal, N and Clark, AF (2012) Feature coverage for better homography estimation: An application to image stitching. In: UNSPECIFIED, ? - ?.

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Abstract

The spatial distribution of feature points is known to affect the accuracy of homography estimation and hence the effectiveness of applications such as image stitching. This paper explores the use of spatial statistics as a metric for feature coverage, the distribution of features in an image. The coverages achieved by several feature detectors are compared and it is shown that detectors with higher coverages achieve better results in an image-stitching application. It is found that that SFOP is the most effective detector considered. © 2012 Institute of Telecommunica.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 12 Jan 2015 15:33
Last Modified: 17 Aug 2017 17:52
URI: http://repository.essex.ac.uk/id/eprint/9214

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