关键词: 特征提取, 非刚性三维形状, 骨架

Abstract: 3D shapes have been applied in many fields, such as industrial design, education, biological medicine, animation entertainment and preservation of cultural relics, etc. Feature extraction of 3D shapes is an important branch of computer graphics and pattern recognition, attracting more attention from many researchers of late years. In particular, the deformations of non-rigid 3D shapes, which mostly contain articulated structure, increase the difficulty of feature extraction of 3D shapes. This paper focuses on feature extraction algorithms of rigid 3D shapes and non-rigid 3D shapes, which are proposed in recent years, analyzes the difficulties of feature extraction, and provides the development process of 3D shapes feature extraction. Moreover, this paper introduces some common test datasets of 3D shapes, mainly discusses feature extraction algorithms of non-rigid 3D shapes, and prospects the future of 3D shapes feature extraction and feature matching.

Key words: feature extraction, non-rigid 3D shapes, curve-skeleton