关键词: 三维目标检索, 贝叶斯网络, 混合光场, 描述符

Abstract: A novel 3D object retrieval algorithm is proposed for meeting 3D object retrieval.Firstly，based on the shortcomings analysis of existing view-based 3D model descriptors，many 3D model descriptors can not adequately describe 3D object information.So the concept of lightfield hybrid descriptor（denoted as H_D） is developed.The H_D includes 3 sub-descriptors，i.e.color descriptor H_CD based on color histogram，texture descriptor H_TD based on Bayesian network learning and shape descriptor H_SD based on shock graph.Then overall framework of H_D is discussed，adaptive clustering algorithm is used to gain Characteristic View （CV），and then the method that how to generate H_D and the corresponding metric mechanism are described.In the end，some experiments are done to analyze retrieval performance based on H_D.The results show that the proposed method is superior to other view-based methods.

Key words: 3D object retrieval, Bayesian network, light field hybrid, descriptor