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dc.contributor.authorPintore, Giovannien_US
dc.contributor.authorMura, Claudioen_US
dc.contributor.authorGanovelli, Fabioen_US
dc.contributor.authorFuentes-Perez, Lizeth Joselineen_US
dc.contributor.authorPajarola, Renatoen_US
dc.contributor.authorGobbetti, Enricoen_US
dc.contributor.editorMantiuk, Rafal and Sundstedt, Veronicaen_US
dc.description.abstractCreating high-level structured 3D models of real-world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments and the need to cope with noisy and partial captured data, many open research problems remain, despite the substantial progress made in the past decade. In this survey, we provide an up-to-date integrative view of the field, bridging complementary views coming from computer graphics and computer vision. After providing a characterization of input sources, we define the structure of output models and the priors exploited to bridge the gap between imperfect sources and desired output. We then identify and discuss the main components of a structured reconstruction pipeline, and review how they are combined in scalable solutions working at the building level. We finally point out relevant research issues and analyze research trends.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.subjectComputing methodologies
dc.subjectComputer graphics
dc.subjectShape modeling
dc.subjectComputer vision
dc.subjectComputer vision problems
dc.subjectShape inference
dc.subjectApplied computing
dc.subjectaided design
dc.titleState-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environmentsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersState of the Art Reports

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License