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室内实景三维重建技术综述

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构建语义丰富、几何精确且拓扑完备的室内三维模型是实景三维中国建设中一项富有挑战性的任务,在室内导航与位置服务、虚拟现实、智能家居等领域都有重要的应用价值.室内空间结构布局复杂、实体要素类型多样及杂乱遮挡等因素给室内实景三维重建带来诸多挑战.近些年,室内实景三维重建受到广泛关注,然而关于现有方法的系统性总结仍较为欠缺.本文对室内实景三维重建最新技术的研究进展进行整理和归纳.首先,简要总结当前主流的室内空间三维数据采集手段;其次,从室内实景三维模型构建过程中涉及的关键环节出发,从实体要素语义识别和分类、实体要素几何模型生成、空间拓扑特征组织与表达方面对现有方法及其优缺点进行综述;最后,对室内实景三维重建相关研究现存的技术挑战进行分析总结,并对未来研究趋势进行展望.
Review of indoor real scene 3D reconstruction technology
A semantically rich,geometrically accurate,and topologically complete indoor 3D model poses a significant challenge in the construction of a realistic 3D representation of China.It holds crucial application value in various fields such as indoor navigation and location services,virtual reality,and smart homes.However,the intricate layout of indoor spaces,diverse entity elements,and occlusions present substantial challenges to the 3D reconstruction of indoor scenes.In recent years,the reconstruction of 3D indoor real scenes has garnered widespread attention,yet a systematic summary of state-of-the-art techniques is lacking.Therefore,this paper aims to provide a comprehensive summary of state-of-the-art techniques related to 3D indoor real scenes.Firstly,mainstream methods for collecting 3D indoor space data are briefly outlined.Subsequently,delving into the key techniques involved in the reconstruction process,this paper reviews state-of-the-art methods,highlighting their advantages and disadvantages in terms of semantic recognition and classification of entity elements,geometric model generation of entity elements,as well as the organization and reprentation of spatial topological models.Finally,the paper concludes with a summary of challenges associated with the reconstruction of 3D indoor real scenes,followed by a discussion on future research trends.

3D indoor real scenedata registrationclassification of entity elementsspatial topology modelgeometric model of entity elements

康志忠、杨俊涛

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中国地质大学(北京) 土地科学技术学院,北京 100083

山东科技大学 测绘与空间信息学院,青岛 266590

室内实景三维 数据配准 实体要素分类 空间拓扑模型 实体要素几何模型

国家自然科学基金国家自然科学基金

4237145342201486

2024

地理信息世界
中国地理信息产业协会 黑龙江测绘地理信息局

地理信息世界

CSTPCD
影响因子:0.826
ISSN:1672-1586
年,卷(期):2024.31(1)
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