12 lugl 2014 anni - 11. Image-Based Localization and Content Authoring in Structure-from-Motion Point Cloud Models for Real-Time Field Reporting Applications
Descrizione:
this paper
presents a scalable markerless and infrastructure-independent mobile augmented reality system for commodity smartphones and tablets, with
client-server architecture and cloud computing basis, to facilitate both accessing to project information and conducting field reporting in three
dimensions. The method relies on structure-from-motion point clouds generated from site images and/or videos to enable image-based
localization and single-image based content authoring in three dimensions. By using mobile client devices with the proposed method, onsite
personnel can associate field reports with two-dimensional (2D) patches from mobile images and store that information directly in the underlying
three-dimensional (3D) point cloud model. In addition, the client-server architecture of the proposed system allows an onsite access to
most updated project information and field reports as they are being documented on the server. The presented architecture also handles
multiple onsite information retrieval and field reporting requests simultaneously. The overall system is validated on several indoor/outdoor
work areas of three real-world construction projects with varying degrees of occlusions and lighting conditions. The experimental results
show the potential of the proposed method in prompt field reporting in three dimensions, minimizing the time field personnel spent on
accessing project information, and communicating with others to resolve an issue/conflict on the jobsite within 1–3 min.
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