| Authors: |
K. Mikolajczyk
and T. Tuytelaars
and C. Schmid
and A. Zisserman
and J. Matas
and F. Schaffalitzky
and T. Kadir
and L. Van Gool
|
| URL: |
http://www.robots.ox.ac.uk/~vgg/research/affine/det_eval_files/vibes_ijcv2004.pdf |
| Tags: |
ObjectDetection
|
| 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. |
@article{Mikolajczyk2005a,
title = {A comparison of affine region detectors},
author = {K. Mikolajczyk and T. Tuytelaars and C. Schmid and A. Zisserman and J. Matas and F. Schaffalitzky and T. Kadir and L. Van Gool},
journal = {International Journal of Computer Vision},
month = {November},
number = {1--2},
pages = {43--72},
url = {http://www.robots.ox.ac.uk/~vgg/research/affine/det_eval_files/vibes_ijcv2004.pdf},
volume = {65},
year = {2005},
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.},
timestamp = {2007.10.27}, owner = {Marco},
keywords = {ObjectDetection }
}
::