资源说明:The process of classifying objects is a fundamental fea-
ture of most human pursuits, and the idea that people clas-
sify together those things that people ¯nd similar is both
intuitive and popular across a wide range of disciplines. Es-
timation of di®erence between curves (curve matching) is
an useful and often necessary technique in many applica-
tions, including: pattern recognition, image object recogni-
tion, robotic applications, computational geometry, etc.
In this paper, three methods for curve matching using
turning functions are presented. While the ¯rst two, called
plain and polygonal method, are based on a simple adapta-
tion of the existing approaches, the third one, called penalty
method, is a new one and tries to overcome some important
problems from the ¯rst two. The advantages and essential
problems of the proposed methods are also discussed. A
number of examples are presented to show major di®erences
among the methods and their potential usefulness.
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