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Title: A comparison of affine region detectors
Authors: Mikolajczyk, K ×
Tuytelaars, Tinne
Schmid, C
Zisserman, A
Matas, J
Schaffalitzky, F
Kadir, T
Van Gool, Luc #
Issue Date: Nov-2005
Publisher: Springer
Series Title: International journal of computer vision vol:65 issue:1-2 pages:43-72
Abstract: The paper gives a snapshot of the state of the art in affine covariant region detectors, and compares their performance on a set of test images under varying imaging conditions. Six types of detectors are included: detectors based on affine normalization around Harris (Mikolajczyk and Schmid, 2002; Schaffalitzky and Zisserman, 2002) and Hessian points (Mikolajczyk and Schmid, 2002), a detector of 'maximally stable extremal regions', proposed by Matas et al. (2002); an edge-based region detector (Tuytelaars and Van Gool, 1999) and a detector based on intensity extrema (Tuytelaars and Van Gool, 2000), and a detector of 'salient regions', proposed by Kadir, Zisserman and Brady (2004). The performance is measured against changes in viewpoint, scale, illumination, defocus and image compression.
URI: 
ISSN: 0920-5691
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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