A comparison of affine region detectors

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. The objective of this paper is also to establish a reference test set of images and performance software, so that future detectors can be evaluated in the same framework.
Document type :
Journal articles
Complete list of metadatas

Cited literature [46 references]  Display  Hide  Download

https://hal.inria.fr/inria-00548528
Contributor : Thoth Team <>
Submitted on : Monday, December 20, 2010 - 9:09:11 AM
Last modification on : Thursday, February 21, 2019 - 10:31:45 AM
Long-term archiving on : Monday, March 21, 2011 - 3:10:05 AM

File

affine_ijcv05.pdf
Files produced by the author(s)

Identifiers

Collections

IMAG | INRIA | UGA

Citation

Krystian Mikolajczyk, Tinne Tuytelaars, Cordelia Schmid, Andrew Zisserman, Jiri Matas, et al.. A comparison of affine region detectors. International Journal of Computer Vision, Springer Verlag, 2005, 65 (1/2), pp.43--72. ⟨http://www.springerlink.com/content/744376233t370532/⟩. ⟨10.1007/s11263-005-3848-x⟩. ⟨inria-00548528⟩

Share

Metrics

Record views

1873

Files downloads

4819