This page is focused on the problem of detecting affine invariant features in arbitrary images and on the performance evaluation of region detectors/descriptors.
Affine Covariant Regions
Image 1
|
Image 2
|
Publications
Region detectors |
- Harris-Affine & Hessian Affine: K. Mikolajczyk and C. Schmid, Scale and Affine invariant interest point detectors. In IJC
V 60(1):63-86, 2004. PDF
- MSER: J.Matas, O. Chum, M. Urban, and T. Pajdla, Robust
wide baseline stereo from maximally stable extremal regions. In BMVC p. 384-393, 2002. PDF
- IBR & EBR: T.Tuytelaars and L. Van Gool, Matching widely separated views based on affine invariant regions
. In IJCV 59(1):61-85, 2004. PDF
- Salient regions: T. Kadir, A. Zisserman, and M. Brady,
An affine invariant salient region detector. In ECCV p. 404-416, 2004.
PDF
- All Detectors - Survey: T. Tuytelaars and
K. Mikolajczyk ,
Local Invariant Feature Detectors - Survey. In CVG, 3(1):1-110, 2008.
PDF
|
Region descriptors |
- SIFT: D. Lowe, Distinctive image features from scale invariant keypoints. In IJCV 60(2):91-110, 2004.
PDF
|
Performance evaluation |
- K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir
and L. Van Gool, A comparison of affine region detectors. In IJCV 65(1/2):43-72, 2005.
PDF
- K. Mikolajczyk, C. Schmid, A performance evaluation of local descriptors. In PAMI 27(10):1615-1630 .
PDF
|
Software
Test Data
The packages contain images in PPM format and homographies between image pairs. Data description.
Blur
1000x700 6 images |
Blur
1000x700 6 images |
Viewpoint
800x640 6 images
| Viewpoint
1000x700 6 images |
Zoom+rotation
765x512 6 images |
Zoom+rotation
800x640 6 images |
Light
921x614 6 images |
JPEG compression
800x640 6 images |