A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several sha...A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several shape retrieval technologies have been developed, little attention has been given to the points on human＇s sense and impression （as known as Kansei） in the conventional techniques, In this paper, the authors propose a novel method of shape retrieval based on shape impression of human＇s Kansei. The key to the method is the Gaussian curvature distribution from 3D models as features for shape retrieval. Then it classifies the 3D models by extracted feature and measures similarity among models in storage.展开更多
通过研究一个具有代表性的UML/MARTE(unified modeling language/modeling and analysis of real time and embedded systems)模型向FIACRE(intermediate format for the architectures of embedded distributed components)形式模型的...通过研究一个具有代表性的UML/MARTE(unified modeling language/modeling and analysis of real time and embedded systems)模型向FIACRE(intermediate format for the architectures of embedded distributed components)形式模型的转换实例,探讨了异构模型之间在语义和语法层的相互转换问题.在语义层,通过模型转换技术构造语义映射规则,实现元语言之间的转换;在语法层,通过构造元模型的具体语法,反映元语言的语法规则,从而产生目标模型的程序实体.基于此实例研究,探讨了通用转换途径的相关框架和关键技术,并讨论了转换工作的优缺点和实用性.展开更多
文摘A large number of 3D models are created on computers and available for networks. Some content-based retrieval technologies are indispensable to find out particular data from such anonymous datasets. Though several shape retrieval technologies have been developed, little attention has been given to the points on human＇s sense and impression （as known as Kansei） in the conventional techniques, In this paper, the authors propose a novel method of shape retrieval based on shape impression of human＇s Kansei. The key to the method is the Gaussian curvature distribution from 3D models as features for shape retrieval. Then it classifies the 3D models by extracted feature and measures similarity among models in storage.
文摘通过研究一个具有代表性的UML/MARTE(unified modeling language/modeling and analysis of real time and embedded systems)模型向FIACRE(intermediate format for the architectures of embedded distributed components)形式模型的转换实例,探讨了异构模型之间在语义和语法层的相互转换问题.在语义层,通过模型转换技术构造语义映射规则,实现元语言之间的转换;在语法层,通过构造元模型的具体语法,反映元语言的语法规则,从而产生目标模型的程序实体.基于此实例研究,探讨了通用转换途径的相关框架和关键技术,并讨论了转换工作的优缺点和实用性.
