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» Shape Descriptors for Maximally Stable Extremal Regions
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ICCV
2007
IEEE
14 years 8 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
ICPR
2010
IEEE
13 years 8 months ago
Shape Guided Maximally Stable Extremal Region (MSER) Tracking
Maximally Stable Extremal Regions (MSERs) are one of the most prominent interest region detectors in computer vision due to their powerful properties and low computational demands...
Michael Donoser, Hayko Riemenschneider, Horst Bisc...
BMVC
2002
13 years 8 months ago
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
The wide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements...
Jiri Matas, Ondrej Chum, Martin Urban, Tomá...
CVPR
2006
IEEE
14 years 8 months ago
Efficient Maximally Stable Extremal Region (MSER) Tracking
This paper introduces a tracking method for the well known local MSER (Maximally Stable Extremal Region) detector. The component tree is used as an efficient data structure, which...
Michael Donoser, Horst Bischof
CVPR
2007
IEEE
14 years 8 months ago
Maximally Stable Colour Regions for Recognition and Matching
This paper introduces a novel colour-based affine covariant region detector. Our algorithm is an extension of the maximally stable extremal region (MSER) to colour. The extension ...
Per-Erik Forssén