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2D shape classification using multifractional Brownian motion

Bicego, Manuele and Trudda, Alessandro (2008) 2D shape classification using multifractional Brownian motion. In: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR & SPR 2008: proceedings, 4-6 December 2008, Orlando, USA. Berlin - Heidelberg, Springer. p. 906-916. (Lecture Notes in Computer Science, 5342/2008). ISBN 978-3-540-89688-3. Conference or Workshop Item.

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DOI: 10.1007/978-3-540-89689-0_94


In this paper a novel approach to contour-based 2D shape recognition is proposed. The main idea is to characterize the contour of an object using the multifractional Brownian motion (mBm), a mathematical method able to capture the local self similarity and long-range dependence of a signal. The mBm estimation results in a sequence of Hurst coefficients, which we used to derive a fixed size feature vector. Preliminary experimental evaluations using simple classifiers with these feature vectors produce encouraging results, also in comparison with the state of the art.

Item Type:Conference or Workshop Item (Paper)
ID Code:2235
Uncontrolled Keywords:2D shape recognition, mBm, sequence of Hurst coefficients
Subjects:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/05 Sistemi di elaborazione delle informazioni
Area 13 - Scienze economiche e statistiche > SECS-S/06 Metodi matematici dell'economia e delle scienze attuariali e finanziarie
Divisions:001 Università di Sassari > 01 Dipartimenti > Economia, impresa, regolamentazione
Deposited On:18 Aug 2009 10:07

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