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计算机系统应用:2020,29(1):22-28
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角点检测技术综述
(浙江工业大学 计算机科学与技术学院, 杭州 310023)
Review on Image Corner Detection
(College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China)
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投稿时间:2019-06-20    修订日期:2019-07-16
中文摘要: 角点检测是机器视觉和计算机视觉领域的基本课题.角点有时也称为兴趣点,在简化图像信息数据的同时,还在一定程度上保留了图像较为重要的特征信息.角点检测在三维场景重建、运动估计、视觉跟踪以及图像配准与图像匹配等计算机视觉领域得到了广泛的应用.本文对现有的角点检测方法进行了分类及阐述,主要分为基于灰度强度的方法、基于边缘轮廓的方法,并将其余类别的角点检测方法也进行了汇总.并介绍了现有方法的部分测评技术以及实用案例,为图像角点检测技术提供参考和借鉴.
Abstract:Corner detection is a basic subject in the field of machine vision and computer vision. Corner detection is sometimes called interest point. It not only simplifies the image information data, but also retains the more important feature information of the image to a certain extent. Corner detection includes three-dimensional scene reconstruction, motion estimation, visual tracking, image registration, and image matching. Computer vision has been widely used in the field of computer vision. This study classifies and describes the existing corner detection methods, which are mainly divided into gray-level intensity-based methods and edge contour-based methods. The other types of corner detection methods are also summarized, providing references for image corner detection technology.
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引用文本:
朱思聪,周德龙.角点检测技术综述.计算机系统应用,2020,29(1):22-28
ZHU Si-Cong,ZHOU De-Long.Review on Image Corner Detection.COMPUTER SYSTEMS APPLICATIONS,2020,29(1):22-28

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