@inproceedings{faee1131c9eb452795e8791c0c07824f,
title = "Modeling Complex Building Structure (LoD2) Using Image-Based Point Cloud",
abstract = "A method designed to reconstruct outdoor 3D building models automatically from a point cloud is presented in this paper. The proposed approach starts with building detection using spectral and spatial data from the UAV point cloud to remove non-building features. RANSAC, modified convex hull, and line growing algorithms are used to extract main roof planes and their boundaries. Roof planes are adjusted to each other using geometrical constraints, the height of each plane is estimated and a 3D model for the whole structure is constructed with LoD2. The key contribution of this approach is using a hybrid approach of model-driven with statistical analysis for modeling complex structures from a noisy point cloud. The reconstructed model shows that the workflow is sufficient to describe the whole building structure in the required LoD.",
keywords = "LoD2, Model Driven, Outdoor Modeling, RANSAC, UAV",
author = "Wael Ahmed and Wenzhong Shi and Wenbin Xu",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IPAS.2018.8708864",
language = "English",
series = "IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "110--114",
booktitle = "IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018",
note = "3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018 ; Conference date: 12-12-2018 Through 14-12-2018",
}