3D object retrieval based on subjective measures
3D object retrieval based on subjective measures
复制标题
基于主观测量的 3D 对象检索
DOI：
10.1109/dexa.1998.707504
复制
发表时间：
1998
期刊：
影响因子：
--
通讯作者：
H. Tsukune
中科院分区：
文献类型：
--
作者：
Motofumi T. Suzuki;Toshikazu Kato;H. Tsukune
为了支持创建良好的虚拟世界表示，我们需要从数据库中检索多边形对象。在传统的数据库系统中，多边形数据的检索仅基于多边形的特征。不幸的是，这样的检索技术不考虑用户的主观措施。本文阐述了创建多维空间的主观措施的基础上，通过分析多边形数据的功能之间的相关性，使用多维缩放方法和回归分析。我们的技术使用户能够检索对象更有效地考虑主观措施。
To support the creation of good virtual world presentation, we need to retrieve polygon objects from databases. In conventional database systems, retrieval of polygonal data was based on only the features of the polygon. Unfortunately, such retrieval techniques do not consider the user's subjective measures. This paper illustrates the creation of multidimensional spaces based on subjective measures by analyzing the correlation between features of polygonal data using a multidimensional scaling method and regression analysis. Our techniques enable users to retrieve objects more efficiently by considering subjective measures.