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An affine invariant interest point detector

An affine invariant interest point detector,10.1007/3-540-47969-4_9,Krystian Mikolajczyk,Cordelia Schmid

An affine invariant interest point detector   (Citations: 524)
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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 in- troduce 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 normal- ized derivatives over scale. 3) An affine-adapted Harris detector deter- mines 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 of affine invariant points ; the affine transformation associated with each point allows the computation of an affine invariant descriptor which is also invariant to affine illumination changes. A quantitative comparison of our detector with existing ones shows a significant improvement in the presence of large affine deformations. Experimental results for wide baseline matching show an excellent performance in the presence of large perspective transformations including significant scale changes. Results for recognition are very good for a database with more than 5000 images.
Published in 2002.
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    • ...They extended their work to affine invariant in Mikolajczyk and Schmid (2002)...

    Ahmed F. Elaksheret al. Matching conjugate points between multi-resolution satellite images us...

    • ...Affine-Invariant Detectors In recent years, detectors have been proposed that are invariant to affine changes (Mikolajczyk and Schmid 2002; Schaffalitzky and Zisserman 2002; Tuytelaars and van Gool 2000; Matas et al. 2002; Kadir et al. 2004)...
    • ...Affine-invariant detectors provide higher repeatability for large affine distortions (Lowe 2004; Mikolajczyk and Schmid 2002), but are typically expensive to compute (Mikolajczyk et al. 2005; Moreels and Perona 2007)...

    Steffen Gauglitzet al. Evaluation of Interest Point Detectors and Feature Descriptors for Vis...

    • ...Detectors that find affine co-variant features [17] have also been proposed such as Harris-affine [1, 15], Hessian-affine [17], Maximally Stable Extremal Regions MSER [13] and salient regions [8].,Combinations of either Harris or Hessian corner detectors, followed by Laplacian scale selection and affine fitting were proposed by Mikolajczyk et al.[15] and Baumberg et al. [1].,A filter known for superior detection of scale [15, 9] is the Laplacian of Gaussian filter...

    C. Lawrence Zitnicket al. Edge foci interest points

    • ...The space of affine orientations is too large to search directly, so schemes have been proposed to perform local searches for affine orientation using scalespace interest regions as a starting point (Mikolajczyk and Schmid 2002)...

    Simon Tayloret al. Binary Histogrammed Intensity Patches for Efficient and Robust Matchin...

    • ...First, regions of interest (ROIs) in an image are detected using the Hessian affine detector [9] and SIFT features [2] are extracted from each region...

    PÃter Vajdaet al. Omnidirectional object duplicate detection

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