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Matching corners using the informative arc

Kanwal, N and Bostanci, E and Clark, AF (2014) 'Matching corners using the informative arc.' IET Computer Vision, 8 (3). 245 - 253. ISSN 1751-9632

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Corners are important features in images because they typically delimit the boundaries of regions or objects. For realtime applications, it is essential that corners are detected and matched reliably and rapidly. This study presents two related descriptors which are compatible with standard corner detectors and able to be computed and matched at video rate: one encodes the entire region within a corner, whereas the other describes only the region within an object. The advantage of encoding only the region within an object is demonstrated. The noise stability of the descriptors is assessed and compared with that of the popular binary robust independent elementary feature (BRIEF) descriptor, and the matching performances of the descriptors are compared on video sequences from hand-held cameras and the PETS2012 database. A statistical analysis shows that performance is indistinguishable from BRIEF. © The Institution of Engineering and Technology 2014.

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: 07 Jul 2015 12:31
Last Modified: 05 Feb 2019 19:15

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