点云数据稀疏区域建筑物立面重建方法

doi:10.3969/j.issn.0255-8297.2017.02.008

Abstract

Abstract:

A building facade is composed of regular and irregular geometric structures. When the prior or extracted rules of facade structure are used to reconstruct the sparse data area, unreasonable reconstructed geometric structures will appear. This paper presents a method for building façade reconstruction on LiDAR data sparse region by combining rule inference and laser data verification. Building facade reconstruction is first introduced, including initial model reconstruction from LiDAR data and refinement combining LiDAR data and images. The reconstruction method is discussed for data sparse region with a focus based on an analysis of façade regularity, prediction of missing geometry structures and verification with point cloud data. Experiments show that the method can effectively detect unreasonable reconstruction and improve reliability of facade reconstruction based on the data sparse region.

Key words: sparse point data, building facade reconstruction, rule inference, point data verification

CLC Number:

P237.4

LIU Ya-wen, QIN Su-shun. Building Facade Reconstruction on Sparse LiDAR Data Region[J]. Journal of Applied Sciences, 2017, 35(2): 217-225.

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Building Facade Reconstruction on Sparse LiDAR Data Region

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