Abstract
Contour modeling by a time-varying autoregressive (TVAR) model is considered. A least squares estimator of the TVAR model parameters is presented, and the maximum likelihood approach for determining the model order is also presented. In the experiment, curvature extrema points of synthesized contours are detected from the time frequency distribution estimated with TVAR model. In the classification experiment with contours of various planar shapes, about 97% of samples are correctly classified.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
