3D Model Feature Extraction Algorithm Based on Shape Weighted

摘要：

Feature extraction is the focus of the 3D model retrieval research. Recent years, some methods for feature extraction have been proposed. Although, the extraction algorithms are increasingly complex and computational, recall and precision rate is only improved slowly. This paper proposes a novel 3D model feature extraction algorithm based on shape weighted, taking into account the distance between center point and the sample point, as well as the area of the corresponding triangular patches, and building a histogram for feature descriptor. The presented algorithm takes full advantage of the model surface information and its calculation is simple and less time consuming. Experiments show that the algorithm improves recall and precision effectively.

关键词： 3D model retrieval Feature extraction Shape distribution Shape of the weighted Histogram

作者: Mao Rui Tang Yan Chen Qiang Zhang Qing-Chen Gan Yuan-Chao

作者单位: College of Computer and Information Science, Southwest University, Chongqing 400715, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 498-501

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）