Affine-invariant curve normalization for object shape representation, classification, and retrieval

被引：32

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-15773 Athens, Greece

来源：

MACHINE VISION AND APPLICATIONS | 2001年 / 13卷 / 02期

关键词：

curve normalization; affine invariants; shape analysis; image and video retrieval;

D O I：

10.1007/PL00013272

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, which allows an affine-invariant curve representation to be obtained without any actual loss of information on the original curve. It can be applied as a preprocessing 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

页码：80 / 94

页数：15

共 53 条

[1] AN EFFICIENTLY COMPUTABLE METRIC FOR COMPARING POLYGONAL SHAPES [J].