Shape representation and recognition from multiscale curvature

被引:75
作者
Dudek, G [1 ]
Tsotsos, JK [1 ]
机构
[1] UNIV TORONTO, DEPT COMP SCI, TORONTO, ON M5S 1A4, CANADA
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1006/cviu.1997.0533
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a technique for shape representation and the recognition of objects based on multiscale curvature information, It provides a single framework for both the decomposition and recognition of both planar curves as well as surfaces in three-dimensional space, The decomposition operation simultaneously performs data interpolation, data smoothing, and segmentation. The unification of these three stages results in a smoothing operation that is coupled with the primitives to be used in description. Each of the minimization operators, in addition to having a curvature tuning, also has a different spatial sensitivity function, As a result, the different possible descriptions capture information at multiple spatial scales, This allows a single region of an object to be described in more than one way, when appropriate. The practicality of the ensuing representation is demonstrated by the recognition of planar curves. A matching strategy based on dynamic programming is used, The results illustrate the manner in which a continuous spectrum of similar objects can be defined, ranging from those that are very similar to a target to those that are very different from it. (C) 1997 Academic Press.
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页码:170 / 189
页数:20
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