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Describing corners using angle, mean intensity and entropy of informative arcs

Kanwal, N and Bostanci, E and Clark, AF (2012) 'Describing corners using angle, mean intensity and entropy of informative arcs.' Electronics Letters, 48 (4). 209 - 210. ISSN 0013-5194

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Abstract

Corners are important features in images as they help identify the boundaries of objects. For real-time applications, it is essential that corners can be detected and matched reliably and rapidly. Presented is a descriptor, AMIE, which is compatible with standard corner detectors. It shows that the accuracy of AMIE is similar to that of the popular BRIEF descriptor, yet somewhat quicker to calculate and an order of magnitude faster to match. © 2012 The Institution of Engineering and Technology.

Item Type: Article
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: Jim Jamieson
Date Deposited: 11 Feb 2013 16:53
Last Modified: 05 Feb 2019 19:15
URI: http://repository.essex.ac.uk/id/eprint/5491

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