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  2007, Vol. 20 Issue (6): 770-775    DOI:
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Affine Gaussian Descriptors and Their Application in Pattern Recognition
LIU YiShu
School of Geographical Science, South China Normal University, Guangzhou 510631

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Abstract  Finding efficient features which are invariant under affine transformation is the key to recognizing the images captured at different angles. Affine invariants, such as affine Gaussian descriptors, are derived in this paper. The covariance matrix of the given image is computed at first. Then its eigenvalues and eigenvectors are calculated, by which a set of ellipses with the same center are generated. Finally, affine Gaussian descriptors are derived based on 2dimensional Gaussian function and image compactification theory. Numerical experiments are carried out and the results show that the performance of affine Gaussian descriptors is high.
Key wordsAffine Gaussian Descriptors      Covariance Matrix      Affine Transform      Eigenvalue      Engenvector      Compactification     
Received: 21 August 2006     
ZTFLH: TP391.41  
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LIU YiShu
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LIU YiShu. Affine Gaussian Descriptors and Their Application in Pattern Recognition[J]. , 2007, 20(6): 770-775.
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