Selecting a composite correlation filter design: a survey and comparative study

Ryan A. Kerekes; B. V. K. Vijaya Kumar

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Selecting a composite correlation filter design: a survey and comparative study

机译：选择复合相关滤波器设计：一项调查和比较研究

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摘要

Many composite correlation filter designs have been proposed for solving a wide variety of target detection and pattern recognition problems. Due to the large number of available designs, however, it is often unclear how to select the best design for a particular application. We present a theoretical survey and an empirical comparison of several popular composite correlation filter designs. Using a database of rotational target imagery, we show that some such filter designs appear to be better choices than others under computational and performance constraints. We compare filter performance in terms of noise tolerance, computational load, generalization ability, and distortion in order to provide a multifaceted examination of the characteristics of various filter designs.

机译：为了解决各种各样的目标检测和模式识别问题，已经提出了许多复合相关滤波器设计。但是，由于可用设计的数量众多，因此通常不清楚如何为特定应用选择最佳设计。我们提出了几种流行的复合相关滤波器设计的理论调查和经验比较。使用旋转目标图像的数据库，我们表明在计算和性能约束下，某些此类滤波器设计似乎是比其他滤波器更好的选择。我们在噪声容限，计算负载，泛化能力和失真方面比较了滤波器的性能，以便对各种滤波器设计的特征进行多方面的检查。

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来源
《Optical engineering》 |2008年第6期|067202.1-067202.18|共18页
作者
Ryan A. Kerekes; B. V. K. Vijaya Kumar;
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作者单位

Oak Ridge National Laboratory Oak Ridge, Tennessee 37831;

Carnegie Mellon University Pittsburgh, Pennsylvania 15213;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
correlation filters; target detection; image analysis;

机译：相关过滤器;目标检测;图像分析;

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Selecting a composite correlation filter design: a survey and comparative study

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