An Affine Invariant Interest Point Detector

This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such transformations introduce significant changes in the point location as well as in the scale and the shape of the neighbourhood of an interest point. Our approach allows to solve for these problems simultaneously. It is based on three key ideas : 1) The second moment matrix computed in a point can be used to normalize a region in an affine invariant way (skew and stretch). 2) The scale of the local structure is indicated by local extrema of normalized derivatives over scale. 3) An affine-adapted Harris detector determines the location of interest points. A multi-scale version of this detector is used for initialization. An iterative algorithm then modifies location, scale and neighbourhood of each point and converges to affine invariant points. For matching and recognition, the image is characterized by a set...

• Type: Conference
• Year: 2002
• Where: ECCV
• Authors: Krystian Mikolajczyk, Cordelia Schmid
• Keywords: Affine Invariant Descriptor, Affine Invariant Points, Affine Invariant Way, Computer Vision, ECCV 2002, Large Affine Deformations, Significant Affine Transformations