FAST AND ACCURATE DOCUMENTATION OF ARCHITECTURAL HERITAGE WITH LOW-COST SPHERICAL PANORAMIC PHOTOGRAPHS FROM 360 CAMERAS

Abstract

This research wants to show the possibility of quickly making high-quality photogrammetric models using 360-degree panoramic photographs, but made using low-cost, single-shot cameras. Currently there is a wide variety of single shot cameras, in which the shape of the camera can vary according to the number of lenses that it incorporates in the camera mount, but this will directly affect the quality of the photography. result and in the price of the team.

The fundamental characteristic of single-shot cameras is that they are capable of capturing a 360-degree panoramic photo at the very moment of shooting, which allows to greatly reduce data collection times compared to the normal method of taking photos spherical. This occurs thanks to the fact that they have several lenses that allow them to capture everything that happens around them in a fraction of a second. In addition, the composition times of the final image are also reduced, since they incorporate a processor that allows them to stitch the panorama automatically. These features make data capture very fast, greatly reducing work times. To demonstrate the efficiency of this equipment, several tests have been carried out in different spaces, interior and exterior, of the Cathedral of Plasencia. For each data set, the object documentation was performed twice. The first time it was done with a Faro Focus 3D laser scanner to generate the highly metrically accurate control model. And the second time a Xiaomi Mi Sphere camera was used to generate the comparison model. The photogrammetric models were processed with the Agisoft Metashape software and the comparison of the models in the CloudCompare software. The results obtained in these comparisons have been very promising, showing the effectiveness of these cameras to quickly document heritage. All the data on working times, geometric precision of the models, metric deviations, etc. They are shown below in the document.