VIRTUAL TOURS FOR SMART CITIES: A COMPARATIVE PHOTOGRAMMETRIC APPROACH FOR LOCATING HOT-SPOTS IN SPHERICAL PANORAMAS
The paper aims to investigate the possibilities of using the panorama-based VR to survey data related to that set of activities for planning and management of urban areas, belonging to the Smart Cities strategies. The core of our workflow is to facilitate the visualization of the data produced by the infrastructures of the Smart Cities. A graphical interface based on spherical panoramas, instead of complex three-dimensional could help the user/citizen of the city to better know the operation related to control units spread in the urban area. From a methodological point of view three different kind of spherical panorama acquisition has been tested and compared in order to identify a semi-automatic procedure for locating homologous points on two or more spherical images starting from a point cloud obtained from the same images. The points thus identified allow to quickly identify the same hot-spot on multiple images simultaneously. The comparison shows how all three systems have proved to be useful for the purposes of the research but only one has proved to be reliable from a geometric point of view to identify the locators useful for the construction of the virtual tour.