Abstract
Abstract. Photography has always been considered as a valid tool to acquire information about reality. Nowadays, its versatility, together with the development of new techniques and technologies, allows to use it in different fields of application. Particularly, in the digitization of built heritage, photography not only enables to understand and document historical and architectural artifacts but also to acquire morphological and geometrical data about them with automated digital photogrammetry. Nowadays, photogrammetry enables many tools to give virtual casts of reality by showing it in the way of point cloud. Although they can have metric reliability and visual quality, traditional instruments – such as monoscopic cameras – involve a careful planning of the campaign phase and a long acquisition and processing time. On the contrary, the most recent ones, based on the integration of different sensors and cameras, try to reduce the gap between time and results. The latter include some systems of indoor mapping who, thanks to 360° acquisitions and SLAM technology, reconstruct the original scene in real time in great detail and with a photorealistic rendering. This study is aimed at reporting a research evaluating metric reliability and the level of survey detail with a Matterport Pro2 3D motorized rotating camera, equipped with SLAM technology, whose results have been compared with point clouds obtained by image-based and range-based processes.
Highlights
The construction of three-dimensional punctiform models starting from photographs is a well-established practice; the desire to acquire information more and more rapidly, by keeping the precision of metric data, led in the last years to new kinds of experimentation
Surveys have been examined according to two different approaches, the first of which included evaluations about the visualization of the point cloud obtained by Matterport Pro2 3D, whereas the second one takes into account more specific assessments with the support of some software for comparisons cloud-to-cloud
Data downloaded from the cloud are connected with the construction of the point cloud starting from a polygonal model, and this is the reason why they are different from traditional photogrammetries, being more regular in their top
Summary
The construction of three-dimensional punctiform models starting from photographs is a well-established practice; the desire to acquire information more and more rapidly, by keeping the precision of metric data, led in the last years to new kinds of experimentation. The development of new digital cameras and support tools has again drawn attention to the use of panoramic photos, which can be considered as a right balance between the amount of possible information, connected to the large field of vision, the speed of data capture and the precision of resulting metric data. With the same workflow, in the creation of a point cloud with SfM processes, panoramic images do not need previous camera calibration phases because they are considered to be without deformations On the contrary, this process is necessary in a traditional data capture with a central perspective camera, in order to allow software to find mistakes and distortions of the lens in use. Given the same level of quality of an instrument, the greater will be the number of cameras composing the spherical camera, the greater
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