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引用次数: 21
摘要
本文提出了一种将点云几何分析与语义规则相结合的三维建筑目标检测方法。首先,通过对语义形式化研究,提出了相关知识的定义、部分知识和模糊知识的分类,以方便理解和设计。其次,在符合IFC标准的简化建筑原型上进行了实证实现。揭示了经验知识规则的生成,并以几何->拓扑->语义的自下而上方式解决了语义范围,反之亦然自上而下的方式。使用语义Web规则语言(Semantic Web Rule Language, SWRL)在proprosam平台上进行了具体实现。
Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management
This paper presents an ongoing research which aims at combining geometrical analysis of point clouds and semantic rules to detect 3D building objects. Firstly by applying a previous semantic formalization investigation, we propose a classification of related knowledge as definition, partial knowledge and ambiguous knowledge to facilitate the understanding and design. Secondly an empirical implementation is conducted on a simplified building prototype complying with the IFC standard. The generation of empirical knowledge rules is revealed and semantic scopes are addressed both in the bottom up manner along the line of geometry -> topology -> semantic, and a vice versa top down manner. Concrete implementation is on the platform of protégé with Semantic Web Rule Language (SWRL).