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http://dx.doi.org/10.7848/ksgpc.2012.30.4.353

3D building modeling from airborne Lidar data by building model regularization  

Lee, Jeong Ho (서울대학교 건설환경공학부)
Ga, Chill Ol (서울대학교 건설환경공학부)
Kim, Yong Il (서울대학교 건설환경공학부)
Lee, Byung Gil (경기대학교 토목공학과)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.30, no.4, 2012 , pp. 353-362 More about this Journal
Abstract
3D building modeling from airborne Lidar without model regularization may cause positional errors or topological inconsistency in building models. Regularization of 3D building models, on the other hand, restricts the types of models which can be reconstructed. To resolve these issues, this paper modelled 3D buildings from airborne Lidar by building model regularization which considers more various types of buildings. Building points are first segmented into roof planes by clustering in feature space and segmentation in object space. Then, 3D building models are reconstructed by consecutive adjustment of planes, lines, and points to satisfy parallelism, symmetry, and consistency between model components. The experimental results demonstrated that the method could make more various types of 3d building models with regularity. The effects of regularization on the positional accuracies of models were also analyzed quantitatively.
Keywords
Building reconstruction; 3D modeling; Regularization; Roof segmentation; Airborne Lidar;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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