FFT-BASED ESTIMATION OF LARGE MOTIONS IN IMAGES: A ROBUST GRADIENT-BASED APPROACH

被引：0

作者：

Tzimiropoulos, Georgios ^{[1
]}

Argyriou, Vasileios ^{[2
]}

Stathaki, Tania ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, London SW7 2AZ, England

[2] Univ E London, London E16 2RD, England

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年

关键词：

Motion estimation; correlation methods; POLAR FOURIER-TRANSFORM; REGISTRATION;

D O I：

10.1109/ICASSP.2009.4959747

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A fast and robust gradient-based motion estimation technique which operates in the frequency domain is presented. The algorithm combines the natural advantages of a good feature selection offered by gradient-based methods with the robustness and speed provided by FFT-based correlation schemes. Experimentation with real images taken from a popular database showed that, unlike any other Fourier-based techniques, the method was able to estimate translations, arbitrary rotations and scale factors in the range 4-6.

引用

页码：969 / +

页数：2

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