DocumentCode :
1261858
Title :
Are MSER Features Really Interesting?
Author :
Kimmel, Ron ; Cuiping Zhang ; Bronstein, Alexander ; Bronstein, Michael M.
Author_Institution :
Dept. of Comput. Sci., Technion - Israel Inst. of Technol., Haifa, Israel
Volume :
33
Issue :
11
fYear :
2011
Firstpage :
2316
Lastpage :
2320
Abstract :
Detection and description of affine-invariant features is a cornerstone component in numerous computer vision applications. In this note, we analyze the notion of maximally stable extremal regions (MSERs) through the prism of the curvature scale space, and conclude that in its original definition, MSER prefers regular (round) regions. Arguing that interesting features in natural images usually have irregular shapes, we propose alternative definitions of MSER which are free of this bias, yet maintain their invariance properties.
Keywords :
computer vision; feature extraction; MSER features; affine-invariant feature description; affine-invariant feature detection; computer vision applications; curvature scale space; invariance properties; maximally stable extremal regions; Detectors; Feature extraction; Image edge detection; Level set; Shape; Stability criteria; MSER; affine invariance; correspondence.; feature detector; stable region;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2011.133
Filename :
5936074
Link To Document :
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