Towards a general framework for feature extraction

T. Moons, E. Pauwels, L. Gool, A. Oosterlinck
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引用次数: 1

Abstract

It is shown how object recognition and optical flow can be captured within a single framework. These examples have been selected because they illustrate two complementary problems which can be tackled using the same unified approach based on Lie theory. The object recognition work referred to is based on the extraction of shape invariants and has been reported elsewhere. The present study focuses on using the same framework for the calculation of the optical flow. Besides the introduction of some new methods, it is shown that several well-known schemes can be derived following the same principles.<>
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建立一个通用的特征提取框架
它显示了如何对象识别和光流可以捕获在一个单一的框架。之所以选择这些例子,是因为它们说明了两个互补的问题,这两个问题可以使用基于李论的统一方法来解决。所提到的目标识别工作是基于形状不变量的提取,并已在其他地方报道。本研究的重点是使用相同的框架来计算光流。除了引入一些新方法外,还证明了遵循相同的原理可以推导出几种已知的方案
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