一种基于部件空间分布的三维模型检索方法

三维形状分析是三维模型检索的关键问题.提出一种基于三维模型部件空间分布的形状特征描述方法.此方法的主要思想是依据认知心理学的理论,在描述对象形状时强调它的结构属性.首先将三维模型分割为若干个组成部件,每个部件用一个曲面片表示,然后采用曲面片的质心位置、面积占总面积的百分比的组合作为部件特征,最后将满足指定条件的部件特征的集合作为三维模型的形状特征.基于这一特征表示,给出了一种三维模型检索方法.该方法具有受模型精度和连通性影响较小、相似性度量的计算速度较快的优点.实验结果验证了该检索方法的有效性.

A Method of 3D Model Retrieval by the Spatial Distributions of Components

3D shape analysis is a key problem for 3D model retrieval.In this paper,a shape signature describing the spatial distributions of 3D model's components is proposed.The primary motivation of the approach is to emphasize the object's structural attributes due to human vision theories.Firstly,a model is decomposed into several meaningful components,each of which is represented by a sub-mesh,then the component's mass center and percentage of the surface area are combined to form a component feature,and finally a set of component features satisfing the specified conditions are used as the shape signature ofa 3D model.Based the signature,an approach of 3D model retrieval is presented.It performs well despite the presence of different resolutions and connectivity,and is fast when measuring shape similarity.Experimental results demonstrate the ability of the proposed signature to retrieval 3D modes.