APPLICATION OF AFFINE-INVARIANT FOURIER DESCRIPTORS TO RECOGNITION OF 3-D OBJECTS

被引：250

作者：

ARBTER, K

SNYDER, WE

BURKHARDT, H

HIRZINGER, G

机构：

[1] N CAROLINA STATE UNIV,CTR COMMUN & SIGNAL PROC,RALEIGH,NC 27695

[2] TECH UNIV HAMBURG,HAMBURG,GERMANY

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 07期

关键词：

2-D parameter determination; 3-D parameter estimation; Affine transformation; Features; Fourier descriptors; Invariants; Shape;

D O I：

10.1109/34.56206

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, the method of Fourier descriptors has been extended to produce a set of normalized coefficients which are invariant under any affine transformation (translation, rotation, scaling, and shearing). The method is based on a parameterized boundary description which is transformed to the Fourier domain and normalized there to eliminate dependencies on the affine transformation and on the starting point. Invariance to affine transforms allows considerable robustness when applied to images of objects which rotate in all three dimensions. This is demonstrated by processing silhouettes of aircraft as the aircraft maneuver in three-space. © 1990 IEEE

引用

页码：640 / 647

页数：8

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