A frequency domain approach to roto-translation estimation using gradient cross-correlation
A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as w...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | https://eprints.nottingham.ac.uk/31414/ |
| Summary: | A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as well as noise, a scenario for which other Fourier- based methods typically fail. Robustness and accuracy in conjunction with computational efficiency, offered by the frequency domain formulation, make the algorithm useful in a number of image processing tasks such as image registration. |
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