3D Model Retrieval Based on Visual Shape and Relevance Feedback

摘要：

In this paper, we propose a novel wavelet momentbased surface light source (WM-SLS) descriptor and enhanced gaussian potential function-based silhouette (GPF-S) descriptor, and on the basis of combination with adaboost relevance feedback, to build a 3D model retrieval of two-stage strategy. PCA method for model normalization is introduced to obtain optimal bounding box at first. Secondly, the first stage using GPF-S descriptor is to reduce the retrieval scope and the second stage using combined descriptors retrieves precisely. Finally, we apply adaboost algorithm to improve the retrieval performance by dynamically assigning different weights. Experimental results show that the proposed method is superior to other methods.

关键词： 3D model retrieval PCA WM-SLS descriptor GPF-S descriptor adaboost.

作者: Zhi Liu Chenghua Wang Feng Hong

作者单位: College of Information Science and Technology,NanJing University of Aeronautics & Astronautics Nanjing,210016,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3694-3699

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）