Adaptive partitioning of urban facades

Shen, Chao-Hui, Huang, Shi-Sheng, Fu, Hongbo and Hu, Shi-Min ORCID: https://orcid.org/0000-0001-7507-6542 2011. Adaptive partitioning of urban facades. ACM Transactions on Graphics 30 (6) , 184. 10.1145/2070781.2024218

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Abstract

Automatically discovering high-level facade structures in unorganized 3D point clouds of urban scenes is crucial for applications like digitalization of real cities. However, this problem is challenging due to poor-quality input data, contaminated with severe missing areas, noise and outliers. This work introduces the concept of adaptive partitioning to automatically derive a flexible and hierarchical representation of 3D urban facades. Our key observation is that urban facades are largely governed by concatenated and/or interlaced grids. Hence, unlike previous automatic facade analysis works which are typically restricted to globally rectilinear grids, we propose to automatically partition the facade in an adaptive manner, in which the splitting direction, the number and location of splitting planes are all adaptively determined. Such an adaptive partition operation is performed recursively to generate a hierarchical representation of the facade. We show that the concept of adaptive partitioning is also applicable to flexible and robust analysis of image facades. We evaluate our method on a dozen of LiDAR scans of various complexity and styles, and the image facades from the eTRIMS database and the Ecole Centrale Paris database. A series of applications that benefit from our approach are also demonstrated.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Publisher:	ACM
ISSN:	0730-0301
Date of First Compliant Deposit:	30 March 2016
Last Modified:	04 May 2023 22:08
URI:	https://orca.cardiff.ac.uk/id/eprint/45701

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