Efficient architectural structural element decomposition
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摘要
Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-label optimization that identifies individual elements of a landmark. This allows our system to cope with noisy, incomplete, outlier-contaminated 3D point clouds. We detect four types of structural cues, namely dominant mirror symmetries, rotational symmetries, shape primitives, and polylines capturing free-form shapes of the landmark not explained by symmetry. Our novel method combine these cues enables modeling the variability present in complex 3D models, and robustly decomposing them into architectural structural elements. Our proposed architectural decomposition facilitates significant 3D model compression and shape-specific modeling.
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论文评审过程:Received 30 November 2015, Revised 10 May 2016, Accepted 16 June 2016, Available online 24 June 2016, Version of Record 18 March 2017.
论文官网地址:https://doi.org/10.1016/j.cviu.2016.06.004