View-Based 3D CAD Model Retrieval Using Local Visual Features

摘要：

Discriminating 3D models through the comparison of their 2D projected images from multiple viewpoints, view-based methods conform more closely to human visual recognition for 3D model retrieval. In this paper, a new view-based method using local visual features is proposed. After the projected images of a 3D CAD model are generated, the local features are extracted and represented by the PHOG descriptor for each image. Thus, the similarity between a query model and the object in database is measured by aggregating the similarity of the projected images from all the corresponding viewpoints. At the same time, in order to tackle the semantic gap problem, a Support Vector Machine (SVM) is utilized to predict the class which the query most likely belonging to. Our experimental results show the effectiveness of the proposed method.

关键词： Content-based 3D model retrieval local feature PHOG SVM

作者: Liang Li Shusheng Zhang Kaixing Zhang Qiang He

作者单位: School of Mechanical Engineering Northwestern Polytechnical University Xian China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1394-1397

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）