Digital technologies provided an opportunity for innovation and development in the graphic repre- sentation field during the pandemic when scientific communication was forced into digital commu- nication channels. The digital survey with the image-based and range-based techniques integration allows optimizing 3D measurements and the related technical representations. This study presents the analysis of an innovative pipeline to integrate the Terrestrial Laser Scanner (TLS) dataset directly into the photo- grammetric pipeline within a single software environment. The main objective was to test different procedures for the alignment and integration of point clouds from active (TLS) and passive (clo- se-range photogrammetry) sensors and provide a first metric evaluation. In particular, three methods were analyzed: scale and roto-translation with Ground Control Points through the photogrammetric self-calibration bundle adjustment; integration of the spherical panoramas by the single laser stations into the photogrammetric workflow; Python script to align the photogram- metric dense cloud in the TLS reference system through an Iterative Closest Point (ICP) procedure. The study presents the first results applied to a small architectural scale case study: the Mulino del Cantone, a watermill along the Lambro river in the Park of Monza (MB). The mixed approach opens new opportunities to achieve an efficient 3D survey and a complete graphic representation
Image-Based and Range-Based Dataset Integration for an Efficient 3D Representation
Fiorillo Fausta;Marco LimongielloMethodology
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2021-01-01
Abstract
Digital technologies provided an opportunity for innovation and development in the graphic repre- sentation field during the pandemic when scientific communication was forced into digital commu- nication channels. The digital survey with the image-based and range-based techniques integration allows optimizing 3D measurements and the related technical representations. This study presents the analysis of an innovative pipeline to integrate the Terrestrial Laser Scanner (TLS) dataset directly into the photo- grammetric pipeline within a single software environment. The main objective was to test different procedures for the alignment and integration of point clouds from active (TLS) and passive (clo- se-range photogrammetry) sensors and provide a first metric evaluation. In particular, three methods were analyzed: scale and roto-translation with Ground Control Points through the photogrammetric self-calibration bundle adjustment; integration of the spherical panoramas by the single laser stations into the photogrammetric workflow; Python script to align the photogram- metric dense cloud in the TLS reference system through an Iterative Closest Point (ICP) procedure. The study presents the first results applied to a small architectural scale case study: the Mulino del Cantone, a watermill along the Lambro river in the Park of Monza (MB). The mixed approach opens new opportunities to achieve an efficient 3D survey and a complete graphic representationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
