Matching images with different resolutions
- 13 June 2000
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (10636919) , 612-618
- https://doi.org/10.1109/cvpr.2000.855876
Abstract
In this paper we address the problem of matching two images with two different resolutions: a high-resolution image and a low-resolution one. On the premise that changes in resolution act as a smoothing equivalent to changes in scale, a scale-space representation of the high-resolution image is produced. Hence the one-to-one classical image matching paradigm becomes one-to-many because the low-resolution image is compared with all the scale-space representations of the high-resolution one. Key to the success of such a process is the proper representation of the features to be matched in scale-space. We show how to extract interest points at variable scales and we devise a method allowing the comparison of two images at two different resolutions. The method comprises the use of photometric- and rotation-invariant descriptors, a geometric model mapping the high-resolution image onto a low-resolution image region, and an image matching strategy based on the robust estimation of this geometric model. Extensive experiments show that our matching method can be used for scale changes up to a factor 6.Keywords
This publication has 18 references indexed in Scilit:
- Matching of affinely invariant regions for visual servoingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimal multi-scale matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Wide baseline stereo matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Object recognition from local scale-invariant featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Comparing and evaluating interest pointsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- Feature Detection with Automatic Scale SelectionInternational Journal of Computer Vision, 1998
- Local grayvalue invariants for image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Scale-Space Theory in Computer VisionPublished by Springer Nature ,1994
- Robust regression methods for computer vision: A reviewInternational Journal of Computer Vision, 1991
- Hierarchical Warp StereoPublished by Elsevier ,1987