Riccardo Migliari

Architectural Perspectives Survey

This paper deals with the problem of surveying Architectural Perspectives, generally painted in a 1:1 scale, which represent illusory spaces, enlarging the hosting real spaces. In particular, we intend to propose a method of survey, applicable to the case of painted surfaces in general; this method allows us to achieve high-resolution images with a large information content that gives us detailed information on the colours and on the painting construction signs, in addition to the metric data. For this purpose, we tested image-based integrated survey techniques, which aim, on the one hand, at the construction of three-dimensional virtual models through consolidated image-based modelling techniques, on the other at the construction of high resolution images that have metric valence.

Architectural Perspectives survey

This paper presents an automatic methodology capable of registering non-overlapping laser scans based on a bundle block adjustment for the orientation estimation of synthetic images generated from the 3D data and camera images using a Structure-from-Motion (SfM) method. Adding camera images to the registration of the generated images can improve the block geometry. The SfM process provides accurate image orientations and sparse point clouds, initially in an arbitrary model space. This enables an implicit determination of the 3D-to-3D correspondences between the sparse points and the laser data then, the Helmert transformation is introduced and its parameters are computed. This results in registering the non-overlapping scans, since the relative orientations between the generated images are determined at the SfM step and transformed to the absolute coordinate system directly. The proposed approach was tested on real case studies and experimental results are shown to demonstrate the effectiveness of the presented method.