Experimental Evaluation of Rigid Registration Using Phase Correlation Under Illumination Changes
The phase correlation method is a computationally-efficient technique for image alignment. Presently, the method is capable of performing rigid image registration with sub-pixel accuracy, and is fairly robust to noise and long translations. However, there are also cases when the images to be aligned were taken at different times or come from different sensors, and may present differences in intensity values or illumination. Many algorithms exist to deal with these issues; however, most of them are computationally expensive. In this article, we explore the robustness of the phase correlation method to illumination and/or intensity changes by means of a quantitative evaluation using artificially-generated rigid transformations. Our results suggest that rigid registration using phase correlation may be fairly robust to gamma correction, quantization and multi-spectral acquisition, but more sensitive to differences in illumination and lighting conditions between the input images.
This work was supported by CONACyT grant 154623.
- 1.Alba, A., Vigueras-Gomez, J.F., Arce-Santana, E.R., Aguilar-Ponce, R.M.: Phase correlation with sub-pixel accuracy: a comparative study in 1D and 2D. Computer Vision and Image Understanding (2015)Google Scholar
- 4.Argyriou, V., Vlachos, T.: A study of sub-pixel motion estimation using phase correlation. In: BMVC, pp. 387–396. Citeseer (2006)Google Scholar
- 5.Kuglin, C.D., Hines, D.C.: The Phase correlation image alignment method. In: Proceedings of the IEEE International Conference on Cybernetics and Society, pp. 163–165 (1975)Google Scholar
- 7.Nakajima, H., Kobayashi, K., Higuchi, T.: A fingerprint matching algorithm using phase-only correlation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 87(3), 682–691 (2004)Google Scholar
- 12.Vera, E., Torres, S.: Subpixel accuracy analysis of phase correlation registration methods applied to aliased imagery. In: Proceedings of the European Signal Processing Conference (EUSIPC0 2008), Lausanne, Switzerland (2008)Google Scholar
- 14.Yasuma, F., Mitsunaga, T., Iso, D., Nayar, S.: Generalized assorted pixel camera: post-capture control of resolution, dynamic range and spectrum. Technical report, November 2008Google Scholar