Mobile metric capture and reconstruction in indoor environments
Giovanni Pintore, Fabio Ganovelli, Roberto Scopigno, and Enrico Gobbetti
November 2017
Abstract
Mobile devices have become progressively more attractive for solving environment sensing problems. Thanks to their multi-modal acquisition capabilities and their growing processing power, they can perform increasingly sophisticated computer vision and data fusion tasks. In this context, we summarize our recent advances in the acquisition and reconstruction of indoor structures, describing the evolution of the methods from current single-view approaches to novel mobile multi-view methodologies. Starting from an overview on the features and capabilities of current hardware (ranging from commodity smartphones to recent 360 degree cameras), we present in details specific real-world cases which exploit modern devices to acquire structural, visual and metric information.
Reference and download information
Giovanni Pintore, Fabio Ganovelli, Roberto Scopigno, and Enrico Gobbetti. Mobile metric capture and reconstruction in indoor environments. In Proc. SIGGRAPH Asia Symposium on Mobile Graphics and Interactive Applications. Pages 1:1-1:5, November 2017. DOI: 10.1145/3132787.3139202.
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Bibtex citation record
@InProceedings{Pintore:2017:MCR, author = {Giovanni Pintore and Fabio Ganovelli and Roberto Scopigno and Enrico Gobbetti}, title = {Mobile metric capture and reconstruction in indoor environments}, booktitle = {Proc. SIGGRAPH Asia Symposium on Mobile Graphics and Interactive Applications}, pages = {1:1--1:5}, month = {November}, year = {2017}, isbn = {978-1-4503-5410-3/17/11}, abstract = { Mobile devices have become progressively more attractive for solving environment sensing problems. Thanks to their multi-modal acquisition capabilities and their growing processing power, they can perform increasingly sophisticated computer vision and data fusion tasks. In this context, we summarize our recent advances in the acquisition and reconstruction of indoor structures, describing the evolution of the methods from current single-view approaches to novel mobile multi-view methodologies. Starting from an overview on the features and capabilities of current hardware (ranging from commodity smartphones to recent 360 degree cameras), we present in details specific real-world cases which exploit modern devices to acquire structural, visual and metric information. }, doi = {10.1145/3132787.3139202}, isbn = {978-1-4503-5410-3/17/11}, url = {http://vic.crs4.it/vic/cgi-bin/bib-page.cgi?id='Pintore:2017:MCR'}, }
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