Fourier-Mellin descriptor and interpolated feature space trajectories for three-dimensional object recognition

被引：11

作者：

Ping, ZL ^{[1
]}

Sheng, YL ^{[1
]}

Deschênes, S ^{[1
]}

Arsenault, HH ^{[1
]}

机构：

[1] Univ Laval, Ctr Opt, Photon & Laser Phys Dept, St Foy, PQ G1K 7P4, Canada

来源：

OPTICAL ENGINEERING | 2000年 / 39卷 / 05期

关键词：

Fourier-Mellin moments; three dimensional object recognition; feature space trajectory algorithm; cubic spline regularity;

D O I：

10.1117/1.602488

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We show that the Fourier-Mellin moments can provide an invariant and orthogonal description for binary and contour images. We use the cubic spline interpolation of the feature space trajectories to improve the linear interpolation far 3-D object recognition from 2-D perspective views. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3286(00)01405-7].

引用

页码：1260 / 1266

页数：7

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