Shape Description by Time Series

Authors:
B. Kartikeyan;A. Sarkar
Affiliations:
Indian Institute of Technology, Kharagpur, India;Indian Institute of Technology, Kharagpur, India
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1989

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Abstract

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 shapes which differ widely. A nonlinear model called the noncausal quadratic Volterra model is developed for the purpose. Implementation is illustrated with shapes of aircraft.