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1. Feature-based [21 28] Fig. 1 Taxonomical classification of shape analysis techniques.
In the same section, a taxonomical classification of shape representation approaches and background for shape distribution is given.
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The retrieval and classification of shape-based objects employing three descriptors generic Fourier descriptor (GFD), Legendre moment descriptor (LMD), and wavelet Zernike moment descriptor (WZMD) are described.
A very good generic classification of shape-feature extraction approaches is given by Yang et al. [7].
A unique set of polygons determines the classification of model shape (see Figure 1C).
Lee et al. (1999) reported the results of the feasibility of using ANNs as an alternative to the constant life model.Wong and Hsu (2006) used support vector machines and ANN for the classifications of shapes.
This classification of model shape might be applied to epistatic models identified in real world analyses in order to determine associated shape classes and EDM scores.
Left, bottom row: Classification of cell shape (from left to right): pyramidal, bipolar and multipolar.
In this work a method, performing computer-aided classification of the shape of calcifications accordingly to the classification scheme proposed by Le Gal, is presented.
A Support Vector Machine (SVM) system designed on an Euclidean space, defined over a novel metric between grids, is used for the classification of the shape information.
Spatial modeling and classification of corneal shape.
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