Name
Abstract | ||
|---|---|---|
In this paper, a method is proposed to estimate the log-polar coordinates coefficients using Multilayer-peudopolar Fractional Fourier transform (MPFFT). The MPFFT grid is dense at low coefficients and sparse at high coefficients. This character is geometrically similar to the log-polar grid. Large translations, rotations and scaling in images can be estimated. Experimental results show that the proposed method is more efficient for image registration. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/CIS.2012.79 | CIS |
Keywords | Field | DocType |
log polar grid,fourier transforms,multilayer peudopolar fractional fourier transform,image rotation estimation,high coefficient,mpfft grid,low coefficient,multilayer perceptrons,scaling estimation,image registration,log-polar grid,image translation estimation,fractional fourier transform,multilayer-pseudopolar grid,large translation,mpfft,multilayer-peudopolar fractional fourier,multilayer-pseudopolar fractional fourier transform,log polar coordinate coefficient estimation | Discrete-time Fourier transform,Non-uniform discrete Fourier transform,Mathematical optimization,Harmonic wavelet transform,Short-time Fourier transform,Fourier transform,Discrete Fourier transform,Fractional Fourier transform,Phase correlation,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-4673-4725-9 | 1 | 0.35 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenhong Li | 1 | 165 | 47.51 |
| Jianwei Yang | 2 | 58 | 12.73 |
| Rushi Lan | 3 | 100 | 15.72 |
| Xiaoxia Feng | 4 | 1 | 0.69 |