A fast-Fourier-transform method of topography and interferometry is proposed. By computer processing of a noncontour type of fringe pattern, automatic discrimination is achieved between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour-generation techniques. The method has advantages over moire topography and conventional fringe-contour interferometry in both accuracy and sensitivity. Unlike fringe-scanning techniques, the method is easy to apply because it uses no moving components.

Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry

Asymptotic behavior of RA-estimates in autoregressive 2D processes

The first stage in many early vision problems consists in filtering the input image. In this paper we show how to extend the classical results on robust smoothing based on Bayesian estimation with prior Markov random field models to the case of complex-valued pass-band (quadrature) filters. Examples of the application of these results to stereo reconstruction, texture segmentation and fringe pattern analysis in optics are also presented.

Robust filters for low-level vision

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Robust filters for low-level vision