关键词: 三维CAD模型, 检索, 语义标注, 形状分布, 产品设计

Abstract: To tackle the semantic gap problem in 3D Computer Aided Design (CAD) model retrieval,an auto-tagging algorithm using local shape distributions and semantic probabilities was presented.The shape features of CAD model were extracted by using multi-scale local shape distributions method,and the shape similarity between different models was computed.According to the semantic information in a preclassified training set,a probability-based tagging frame for tagging CAD models was constructed,so as to establish the correspondence between the low-level shape features and the high-level semantics of the models.The experimental results demonstrated the effectiveness of the proposed algorithm in auto-tagging and retrieving 3D CAD models.

Key words: 3D computer aided design model, retrieval, semantic tagging, shape distributions, product design