Curve Representing and Matching Based on Feature Points and Minimal Area Threshold
A new method for representing and recognizing the contour curve is presented in this paper. First, feature points are employed to describe contour curve preliminarily; Then the sample points of the sub-curve are introduced to describe contour more, they are obtained based on the precision requirement using the given minimal area threshold. A new recognition vector of sample points is defined, and a novel recognition vector matrix is constructed based on the recognition vector of sample points; Last the dissimilarity measure of the corresponding sub-curves is calculated by compared the recognition vector matrix. The curves are recognized by recognizing their each sub-curve. The method match object and model from simple to complex, thus many redundancies calculation are avoided. The experiment results show the algorithm is efficient and feasible.
feature points recognition vector recognition vector matriz curve representation
ZHANG Gui-mei REN Wei Miao Jun
Nanchang Hangkong University, Jiangxi Nanchang,330063, China
国际会议
黄山
英文
592-596
2009-08-19（万方平台首次上网日期，不代表论文的发表时间）