2-D shape blending: an intrinsic solution to the vertex path problem
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
A new method of estimating shape similarity
Pattern Recognition Letters
Shape Decomposition and Shape Similarity Measure
Mustererkennung 1998, 20. DAGM-Symposium
Discrete Approach to Curve Evolution
Mustererkennung 1998, 20. DAGM-Symposium
Automatic Generation of Significant and Local Feature Groups of Complex and Deformed Objects
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Dynamic Programming
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In real world problems, where the objects are in general complex and deformed, the automatic generation of local characteristics is necessary in order to distinguish different object classes. This paper presents an approach towards the automatic synthesis of significant local contour sections of closed, discrete, complex, and deformed 2D-object contours for the distinction of different classes. Neighboring contour points are determined and synthesized (feature fusion) into feature groups. Exclusively with the help of these feature groups the method distinguishes between different 2D-object contour classes of a certain domain. The basic idea is to get only the necessary information of a contour or a contour class for recognition.