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Abstract
A method for task-oriented examination of SURF keypoint detector accuracy is presented in the paper. It consists of generating test images, based on a given exemplar, processed by affine transformations: random rotation and scaling, and varying degree of degradations: darkening, blurring, noising, and compression. Details of applied degradation procedure are presented, followed by essentials of SURF-based images matching. A distance metric is adapted for SURF accuracy assessment. It consists of calculation of Euclidean distances between anchor points in the exemplar and degraded images. Finally, results of tests are presented, and impact of degradation level on SURF accuracy is discussed.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013 strony 285 - 290
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Szczuko P..: Influence of image transformations and quality degradations on SURF detector efficiency, W: Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013, 2013, IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,.
- Verified by:
- Gdańsk University of Technology
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