An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification
Issue No. 02 - February (1995 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.368168
<p><it>Abstract</it>— An experimental comparison of shape classification methods based on autoregressive modeling and Fourier descriptors of closed contours is carried out. The performance is evaluated using two independent sets of data: images of letters and airplanes. Silhouette contours are extracted from non-occluded 2D objects rotated, scaled, and translated in 3D space. Several versions of both types of methods are implemented and tested systematically. The comparison clearly shows better performance of Fourier-based methods, especially for images containing noise.</p>
Shape recognition, Fourier descriptors, autoregressive modeling, boundary modeling.
H. Kauppinen, M. Pietikäinen and T. Seppänen, "An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 17, no. , pp. 201-207, 1995.