Affine-invariant curve normalization for shape-based retrieval

被引:0
|
作者
Avrithis, Y [1 ]
Xirouhakis, Y [1 ]
Kollias, S [1 ]
机构
[1] Natl Tech Univ Athens, Dept Elect & Comp Engn, Image Video & Multimedia Syst Lab, GR-10682 Athens, Greece
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D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel method for two-dimensional curve normalization with respect to affine transformations is presented in this paper, allowing an affine-invariant curve representation to be obtained without any actual loss of information on the original curve It can be applied as a pre-processing step to any shape representation, classification, recognition or retrieval technique, since it effectively decouples the problem of affine-invariant description from feature extraction and pattern matching. Curves estimated from object contours are first modeled by cubic B-splines and then normalized in several steps in order to eliminate translation, scaling, skew, starting point, rotation and reflection transformations, based on a combination of curve features including moments and Fourier descriptors.
引用
收藏
页码:1015 / 1018
页数:4
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