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.

Mobile metric capture and reconstruction in indoor environments

Ganovelli F;Scopigno R;
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.
2017
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-4503-5410-3
Reconstruction from panoramic images
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/334661
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