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Sensors 2016, 16(2), 237; doi:10.3390/s16020237

Exploring Architectural Details Through a Wearable Egocentric Vision Device

Department of Engineering, Università degli Studi di Modena e Reggio Emilia, Via Vivarelli 10, Modena 41125, Italy
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Academic Editors: Fabrizio Lamberti, Andrea Sanna and Jon Rokne
Received: 30 December 2015 / Revised: 29 January 2016 / Accepted: 5 February 2016 / Published: 17 February 2016
(This article belongs to the Special Issue Sensors for Entertainment)
View Full-Text   |   Download PDF [5748 KB, uploaded 17 February 2016]   |  

Abstract

Augmented user experiences in the cultural heritage domain are in increasing demand by the new digital native tourists of 21st century. In this paper, we propose a novel solution that aims at assisting the visitor during an outdoor tour of a cultural site using the unique first person perspective of wearable cameras. In particular, the approach exploits computer vision techniques to retrieve the details by proposing a robust descriptor based on the covariance of local features. Using a lightweight wearable board, the solution can localize the user with respect to the 3D point cloud of the historical landmark and provide him with information about the details at which he is currently looking. Experimental results validate the method both in terms of accuracy and computational effort. Furthermore, user evaluation based on real-world experiments shows that the proposal is deemed effective in enriching a cultural experience. View Full-Text
Keywords: computer vision; egocentric vision; smart guides; enhanced tourist experience computer vision; egocentric vision; smart guides; enhanced tourist experience
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Alletto, S.; Abati, D.; Serra, G.; Cucchiara, R. Exploring Architectural Details Through a Wearable Egocentric Vision Device. Sensors 2016, 16, 237.

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