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

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

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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.

Inspec keywords: information management; entropy

Other keywords: mean intensity; BRIEF descriptor; corner detectors; informative arcs; entropy; real time applications

Subjects: Information theory

References

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      • Kanwal, N., Ehsan, S., Bostanci, E., Clark, F.A.: `Are performance differences of interest point operators statistically significant', Proc. 14th Int. Conf., CAIP, August 2011, Seville, Spain.
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      • Calonder, M., Lepetit, V., Strecha, C., Fua, P.: `BRIEF: binary robust independent elementary features', 11thEuropean Conf. on Computer Vision (ECCV 2010), 2010, Crete, Greece, p. 778–792.
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      • Harris, C., Stephens, M.: `A combined corner and edge deetector', Alvey Conf., 1988, Manchester, UK, 15, p. 50.
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