Key points selection by using Zernike polynomials

Luca Costantini; Federica Mangiatordi; Licia Capodiferro; Alessandro Neri

doi:10.1117/12.843835

8 February 2010 Key points selection by using Zernike polynomials

Luca Costantini, Federica Mangiatordi, Licia Capodiferro, Alessandro Neri

Proceedings Volume 7532, Image Processing: Algorithms and Systems VIII; 75320C (2010) https://doi.org/10.1117/12.843835
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

In this work a novel technique for selecting key points is proposed. Key points are used in many image processing applications and should be robust with respect to noise, rotation, blurring, and so on. The selection is based on the amount of local Fisher's information about location, orientation and scale. Based on the relationship between Taylor polynomials in Cartesian coordinates and Zernike polynomials in polar coordinates, the Fisher's information matrix can be written in terms of the image Zernike's expansion coefficients, which can be easily computed by means of a bank of filters. To evaluate the performances of the proposed method we consider four different distortions at three levels. Experimental results show that the performances, in terms of repeatability rate, are better that the performances obtained by the conventional Harris detector.

Citation Download Citation

Luca Costantini, Federica Mangiatordi, Licia Capodiferro, and Alessandro Neri "Key points selection by using Zernike polynomials", Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320C (8 February 2010); https://doi.org/10.1117/12.843835

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