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Research on colorful spaced drawing scheme based on OpenCV

机译：基于OpenCV的彩色间隔绘图方案研究

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摘要

In theoretical research, object recognition has been a hot topic in the field of computer vision for the last decade or so. There are many researches related to this topic in the top conferences and journals every year. In some fine-grained application scenarios, such as face recognition and fingerprint recognition, there have been relatively mature applications. In this paper, we study the theories related to object recognition and design and implement a colorful spaced drawing scheme based on OpenCV. Based on this, we extract and match features for color recognition algorithms, and finally form a color feature-based object recognition scheme. The aim is to understand the feature detection algorithm and solve some color path recognition problems in depth, in order to select the appropriate algorithm and optimize it for specific scenarios in the practical application process.
机译：在理论研究中，对象识别是过去十年左右的计算机愿景领域的热门话题。 每年有很多关于顶级会议和期刊的主题有关的研究。 在一些细粒度的应用场景中，例如面部识别和指纹识别，应用程序相对成熟。 在本文中，我们研究了与对象识别和设计相关的理论，并基于OpenCV实现了一种彩色间隔的绘图方案。 基于此，我们提取和匹配颜色识别算法的特征，最后形成基于颜色的对象识别方案。 目的是了解特征检测算法并在深度上解决一些颜色路径识别问题，以便选择适当的算法并在实际应用过程中为特定方案优化它。

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