Parsing of Urban Facades from 3D Point Clouds Based on a Novel Multi-View Domain

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Wei Wang, Yuanzi Xu, Y. Ren, Gang Wang
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引用次数: 2

Abstract

Recently, performance improvement in facade parsing from 3D point clouds has been brought about by designing more complex network structures, which cost huge computing resources and do not take full advantage of prior knowledge of facade structure. Instead, from the perspective of data distribution, we construct a new hierarchical mesh multi-view data domain based on the characteristics of facade objects to achieve fusion of deep-learning models and prior knowledge, thereby significantly improving segmentation accuracy. We comprehensively evaluate the current mainstream method on the RueMonge 2014 data set and demonstrate the superiority of our method. The mean intersection-over-union index on the facade-parsing task reached 76.41%, which is 2.75% higher than the current best result. In addition, through comparative experiments, the reasons for the performance improvement of the proposed method are further analyzed.
基于多视域的三维点云城市立面分析
最近,通过设计更复杂的网络结构,提高了从三维点云进行立面解析的性能,这些网络结构花费了巨大的计算资源,并且没有充分利用立面结构的先验知识。相反,从数据分布的角度来看,我们基于立面对象的特征构建了一个新的分层网格多视图数据域,以实现深度学习模型和先验知识的融合,从而显著提高分割精度。我们在RueMonge 2014数据集上对当前主流方法进行了全面评估,并证明了我们方法的优越性。facade解析任务的平均交集超过并集指数达到76.41%,比当前的最佳结果高出2.75%。此外,通过对比实验,进一步分析了该方法性能提高的原因。
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来源期刊
Photogrammetric Engineering and Remote Sensing
Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术
CiteScore
1.70
自引率
15.40%
发文量
89
审稿时长
9 months
期刊介绍: Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.
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