In real time, these virtual elements are tracked with the real ones modeled by using ARCore library. In a preprocessing phase, the 2D CAD geometry available from an architectural project is used to generate 3D models of an indoor building structure. Our markerless approach is based on scanning planar surfaces of the user environment and then, these are geometrically aligned with their corresponding virtual 3D entities. ![]() This novelty is possible since our method is based on a matching process between reconstructed walls of the real world and 3D planes of the replicated world in a virtual environment. Although previous approaches used fixed markers for this purpose, our application enables the estimation of both parameters with a centimeter accuracy without them. This information is relevant to determine the user position and orientation. In this research, we focused on the development of a new application (GEUINF) to be launched on smartphones that are capable of capturing 3D data of the real world by depth sensing. Most of these infrastructures are digitized but they cannot be visualized onsite. The installation and maintenance of hidden facilities such as water pipes, electrical lines and air conditioning tubes, which are usually occluded behind the wall, supposes tedious and inefficient tasks. In this paper, a disruptive application for assessing the status of indoor infrastructures is proposed. Recent advances for scanning the user environment, real-time visualization and 3D vision using ubiquitous systems like smartphones allow us to capture 3D data from the real world. This technology arises with other significant advances in the field of sensors fusion for human-centric 3D capturing. ![]() Mixed reality (MR) enables a novel way to visualize virtual objects on real scenarios considering physical constraints.
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