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Invariant feature extraction for 3D texture analysis using autocorrelation function

Invariant feature extraction for 3D texture analysis using autocorrelation function

Pattern Recognition Letters, Volume 22, pp. 759-768, 2001 - Juin 2001
A new method for invariant feature extraction on textured images undergoing affine transformation is presented. This is performed by transformation of the autocorrelation function (ACF) followed by determination of an invariant criterion which is the sum of the coefficients of the discrete correlation matrix. Experimental results support the effectiveness of the proposed approach.

BibTex references

@Article{BKA2001_121,
author = {Brochard, J. and Khoudeir, M. and Augereau, B.},
title = {Invariant feature extraction for 3D texture analysis using autocorrelation function.},
month = {Juin},
year = {2001},
note = {Pattern Recognition Letters, Volume 22, pp. 759-768, 2001},
}