Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6937356 | Computer Vision and Image Understanding | 2018 | 16 Pages |
Abstract
Comprehensive tests were conducted on 2400 standard 128â¯pixelâ¯Ãâ¯128â¯pixel subimages subjected to synthetic shifts and rotations. Tests showed that the accuracy of the proposed method for finding translational shifts is of the order of a few ten-thousandths of a pixel, which is a substantial improvement over other state-of-the-art methods. For the rotation tests, the method outperformed comparable techniques. Furthermore, results showed that the proposed method generally provides better performance than other competing methods when images contained Gaussian or salt and pepper noise. The proposed method can be used in applications where high accuracy, robustness to noise, and/or computation efficiency are important.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Amir HajiRassouliha, Andrew J. Taberner, Martyn P. Nash, Poul M.F. Nielsen,