Kanwal, N and Bostanci, E and Clark, AF (2012) Describing corners using angle, mean intensity and entropy of informative arcs. Electronics Letters, 48 (4). pp. 209-210. DOI https://doi.org/10.1049/el.2011.3807
Kanwal, N and Bostanci, E and Clark, AF (2012) Describing corners using angle, mean intensity and entropy of informative arcs. Electronics Letters, 48 (4). pp. 209-210. DOI https://doi.org/10.1049/el.2011.3807
Kanwal, N and Bostanci, E and Clark, AF (2012) Describing corners using angle, mean intensity and entropy of informative arcs. Electronics Letters, 48 (4). pp. 209-210. DOI https://doi.org/10.1049/el.2011.3807
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 |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Feb 2013 16:53 |
Last Modified: | 04 Dec 2024 06:12 |
URI: | http://repository.essex.ac.uk/id/eprint/5491 |