Non-local scan consolidation for 3D urban scenes

Qian Zheng, Andrei Sharf, Guowei Wan, Yangyan Li, Niloy J. Mitra, Daniel Cohen-Or, Baoquan Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Recent advances in scanning technologies, in particular devices that extract depth through active sensing, allow fast scanning of urban scenes. Such rapid acquisition incurs imperfections: large regions remain missing, significant variation in sampling density is common, and the data is often corrupted with noise and outliers. However, buildings often exhibit large scale repetitions and self-similarities. Detecting, extracting, and utilizing such large scale repetitions provide powerful means to consolidate the imperfect data. Our key observation is that the same geometry, when scanned multiple times over reoccurrences of instances, allow application of a simple yet effective non-local filtering. The multiplicity of the geometry is fused together and projected to a base-geometry defined by clustering corresponding surfaces. Denoising is applied by separating the process into off-plane and in-plane phases. We show that the consolidation of the reoccurrences provides robust denoising and allow reliable completion of missing parts. We present evaluation results of the algorithm on several LiDAR scans of buildings of varying complexity and styles.

Original languageEnglish
Title of host publicationSIGGRAPH '10
Subtitle of host publicationACM SIGGRAPH 2010 papers
EditorsHugues Hoppe
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450302104
StatePublished - 26 Jul 2010
Event37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010 - Los Angeles, United States
Duration: 26 Jul 201030 Jul 2010

Publication series

NameACM SIGGRAPH 2010 Papers, SIGGRAPH 2010


Conference37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010
Country/TerritoryUnited States
CityLos Angeles


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