Paper Info
Title
Quantitative Comparison Of Affine Feature Detectors Based On Quadcopter Images
Abstract
Affine correspondences are in the focus of work in many research groups nowadays. Components of projective geometry, e.g. homography or fundamental matrix, can be recovered more accurately when not only point but affine correspondences are exploited. This paper quantitatively compares state-of-the-art affine covariant feature detectors based-on outdoor images taken by a quadcopter-mounted camera. Accurate Ground Truth (GT) data can be calculated from the restricted flight path of the quadcopter. The GT data consist of not only affine transformation but feature locations as well. Quantitative comparison and in-depth analysis of the affine covariant feature detectors are also presented.
Year
DOI
Venue
2019
10.1007/978-3-030-41590-7_18
COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2019)
Keywords
DocType
Volume
Affine covariant detector, Quantitative evaluation, Affine covariant detectors, Quadcopter, Ground truth generation
Conference
1182
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Zoltán Pusztai182.58
Gergo Gál200.34
Levente Hajder34312.55