A performance evaluation of local descriptors
Science Oxford · University of Oxford · +2 more institutions
Abstract
In this paper, we compare the performance of descriptors computed for local interest regions, as, for example, extracted by the Harris-Affine detector [Mikolajczyk, K and Schmid, C, 2004]. Many different descriptors have been proposed in the literature. It is unclear which descriptors are more appropriate and how their performance depends on the interest region detector. The descriptors should be distinctive and at the same time robust to changes in viewing conditions as well as to errors of the detector. Our evaluation uses as criterion recall with respect to precision and is carried out for different image transformations. We compare shape context [Belongie, S, et al., April 2002], steerable filters…
Citation impact
- FWCI
- 219.50
- Percentile
- 100%
- References
- 55
Authors
2Topics & keywords
- Scale-invariant feature transform
- Artificial intelligence
- Pattern recognition (psychology)
- Computer science
- Affine transformation
- Detector
- Context (archaeology)
- Mathematics