An experimental comparison of autoregressive and fourier-based descriptors in 2-D shape classification

Hannu Kauppinen, Tapio Seppänen, Matti Pietikäinen

Research output: Contribution to journalArticleScientificpeer-review

308 Citations (Scopus)

Abstract

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
Original languageEnglish
Pages (from-to)201-207
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume17
Issue number2
DOIs
Publication statusPublished - 1995
MoE publication typeA1 Journal article-refereed

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