Article ID Journal Published Year Pages File Type
6937356 Computer Vision and Image Understanding 2018 16 Pages PDF
Abstract
Comprehensive tests were conducted on 2400 standard 128 pixel × 128 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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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