Shape description by time series

Time series modeling techniques are adapted to represent or describe two-dimensional closed contours. Both linear and nonlinear models are fitted. It is found that to detect small changes in shape nonlinear modeling is necessary, even though linear models may be sufficient to differentiate between s...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 1989-09, Vol.11 (9), p.977-984
Hauptverfasser:	Kartikeyan, B., Sarkar, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Applied sciences Artificial intelligence Computer science control theory systems Digital images Exact sciences and technology Feature extraction Image analysis Image recognition Mathematics Pattern recognition. Digital image processing. Computational geometry Shape Stochastic processes
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