Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (14): 39-47.DOI: 10.3778/j.issn.1002-8331.2102-0261

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Review on Research Progress of 2D Shape Description and Classification

LIU Lei, ZOU Yuanyuan, CHEN Boxuan   

  1. 1.School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China
    2.National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang 110168, China
  • Online:2021-07-15 Published:2021-07-14



  1. 1.沈阳建筑大学 机械工程学院,沈阳 110168
    2.高档石材数控加工装备与技术国家地方联合工程实验室,沈阳 110168


2D shape classification and recognition is an important issue in the fields of computer vision and pattern recognition, and plays an important role in target recognition, image understanding and other applications. In this paper, the latest research work on 2D shape classification and recognition is reviewed from three aspects:feature description, shape classification and recognition, shape standard database. First, a comprehensive analysis of 2D shape feature representation methods, including contour-based, area-based, skeleton-based and multi-feature fusion methods, is made, and a brief review is given. Then, 2D shape classification and recognition methods are introduced and analyzed, including traditional machine learning classifiers, ensemble classifiers, deep learning methods, etc. Then, the standard databases commonly used in 2D shape recognition are summarized. Finally, the development trend of 2D shape recognition classification research is prospected.

Key words: 2D shape, shape descriptor, shape classification, feature fusion, ensemble classifier



关键词: 二维形状, 形状描述子, 形状分类, 特征融合, 分类器集成