Multiresolution Estimation of 2-d Disparity Using a Frequency Domain ApproachA. D. Calway, H. Knutsson, R. Wilson, Multiresolution Estimation of 2-d Disparity Using a Frequency Domain Approach. British Machine Vision Conference. ISBN 3-540-19777-X, pp. 227–236. September 1992. PDF, 272 Kbytes.
An efficient algorithm for the estimation of the 2-d disparity between a pair of stereo images is presented. Phase based methods are extended to the case of 2-d disparities and shown to correspond to computing local correlation fields. These are derived at multiple scales via the frequency domain and a coarse-to-fine `focusing' strategy determines the final disparity estimate. Fast implementation is achieved by using a generalised form of wavelet transform, the multiresolution Fourier transform (MFT), which enables efficient calculation of the local correlations. Results from initial experiments on random noise stereo pairs containing both 1-d and 2-d disparities, illustrate the potential of the approach.