Multi-view 3D Sense Retrieval Approach Based on Dynamic Bayesian Networks

摘要：

A new dynamic 3D scene retrieval approach is proposed based on a novel dynamic Bayesian network (DBN) lightfield descriptor. To overcome the disadvantages of the existing 3D scene retrieval methods, we explore dynamic Bayesian network for building a new lightfield descriptor. Firstly, dynamic 3D object is put into lightfield, and many gray-views can be obtained along a sphere, and then features can be calculated based on gray-views. DBN graph model would be built based on learning of feature sequences. Secondly, a new 3D scene retrieval method is proposed based on graph model measurement Beneficial from the statistical learning, our descriptor is robustness as compared to the existing methods. Experimental results demonstrate that our proposed approach is with better performance than the existing methods.

关键词： 3D scene retrieval lightfield Bayesian network learning

作者: Qinkun Xiao Hu Xiaoxia Song Gao

作者单位: Department of Electronics Information Engineering Xian Technological University Xian, China, 710032

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 212-215

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）