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Large scale evaluation of local image featuredetectors on homography datasets

Abstract:

We present a large scale benchmark for the evaluation of local feature detectors. Our key innovation is the introduction of a new evaluation protocol which extends and improves the standard detection repeatability measure. The new protocol is better for assessment on a large number of images and reduces the dependency of the results on unwanted distractors such as the number of detected features and the feature magnification factor. Additionally, our protocol provides a comprehensive assessme...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
New College; New College; New College; New College
Publisher:
British Machine Vision Association Publisher's website
Publication date:
2018-09-06
Acceptance date:
2018-07-02
Pubs id:
pubs:943532
URN:
uri:06a121fc-cd06-425f-9f5f-d6b5c6d05742
UUID:
uuid:06a121fc-cd06-425f-9f5f-d6b5c6d05742
Local pid:
pubs:943532

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