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

Abstract:

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