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Least Squares and Robust Estimation of Local Image Structure

Least Squares and Robust Estimation of Local Image Structure,10.1007/s11263-005-1840-0,International Journal of Computer Vision,Joost Van De Weijer,Re

Least Squares and Robust Estimation of Local Image Structure   (Citations: 4)
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Linear scale space methodology uses Gaussian probes at scale s to observe the differential structure. In observing the differential image structure through the Gaussian derivative probes at scale s we implicitly construct the Taylor series expansion of the smoothed image. The Gaussian facet model, as a generalization of the classic Haralick facet model, constructs a polynomial approximation of the unsmoothed image. The measured differential structure therefore is closer to the ‘real’ structure than the differential structure measured using Gaussian derivatives.
Journal: International Journal of Computer Vision - IJCV , vol. 64, no. 2-3, pp. 143-155, 2005
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