Issue No. 11 - November (2011 vol. 33)
Ron Kimmel , Technion, Haifa
Cuiping Zhang , CMART Systems, Inc., Santa Clara
Alexander M. Bronstein , Tel Aviv University, Tel Aviv
Michael M. Bronstein , Universita' della Svizzera Italiana, Lugano
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.
MSER, feature detector, affine invariance, stable region, correspondence.
R. Kimmel, C. Zhang, A. M. Bronstein and M. M. Bronstein, "Are MSER Features Really Interesting?," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, no. , pp. 2316-2320, 2011.