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Research Report CS-RR-196

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A.D. Calway, H. Knutsson and R.G. Wilson, Multiresolution Estimation of 2-d Disparity Using a Frequency Domain Approach (October 1, 1991).

Abstract

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.

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A.D. Calway, H. Knutsson and R.G. Wilson, "Multiresolution Estimation of 2-d Disparity Using a Frequency Domain Approach", Proceedings of the British Conference on Machine Vision, September 1992, pp. 227-236 (1992)

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