Estimating Mean Disparity of Stereo Images Using Shift-trials of Phase Differences
نویسندگان
چکیده
Disparity can be estimated using the phase differences between a pair of stereo images after Gabor filtering. In this paper a simple method is proposed for target detection, which uses shift-trials of phase differences to detect the mean disparity over the sampling window up to the precision of one pixel (the sampling interval unit). The process is posed as a problem of minimising the phase differences in terms of their matching residue's norm through direct searching. It involves no computation of the phase derivatives and is therefore robust to noise and phase singularity. Good results are obtained at an acceptable computational cost.
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