Contour analysis using time-varying autoregressive model

被引：1
|
作者：
Eom, KB [1 ]
机构：
[1] George Washington Univ, Dept Elect & Comp Engn, Washington, DC 20052 USA
来源：
2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2000年
关键词：
D O I：
10.1109/ICIP.2000.899857
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, 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 time-frequency distribution estimated with TVAR model. In the classification experiment with contours of various planar shapes, about 97% of samples are correctly classified.
引用
收藏
页码：891 / 894
页数：4
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