New Imaging Mobile Mapping Device Based on High Resolution Videogrammetry for Large-Scale Outdoor 3d Reconstruction

Abstract

Abstract. In recent years, a new generation of instruments has appeared that are motion-based capture. These systems are based on a combination of techniques, among which LIDAR stands out. In this article we present a new proposal for a 3D model generation instrument based on videogrammetry. The prototype designed consists of two cameras connected to a computer system. One of the cameras is in charge of running VisualSLAM and guiding the user in real time at the moment of data acquisition; the other camera, with a higher resolution, saves the images and, thanks to a refined 3D-Based frame selection algorithm, processes them using automatic photogrammetric procedures, generating one or more point-clouds that are integrated to give way to a high-density and high-precision 3D colour point-cloud.The paper evaluates the proposal with four case studies: two of an urban nature and two related to historical heritage. The resulting models are confronted with the Faro Focus3D X330 laser scanner, classic photogrammetric procedures with reflex camera and Agisoft metashape software and are also confronted with precision points measured with a total station. The case studies show that the proposed system has a high capture speed, and that the accuracy of the models can be competitive in many areas of professional surveying and can be a viable alternative for the creation of instruments based on videogrammetry.

Lidar Imms vs Handheld Multicamera System: A Stress-Test in a Mountain Trailpath

“…In the IMMSs review from Otero et al, (2020), only 4 of the 21 analyzed devices are imagebased. A recent study in this field is the one by Ortiz-Coder & Cabecera, (2021), in which a prototype that exploits video-based photogrammetry is described and tested. Based on the current literature, we can finally conclude that there is a lack of contributions comparing range-and image-based IMMSs.…”

A Rapid Pipeline for Periodic Inspection and Maintenance of Architectural Surfaces

“…For the benefit of simple and expeditious procedures toward data collection, a further strategy is emerging, which entails rapid smartphone video-acquisition, for the retrieval of multi-image 3D reconstructions (Sirmacek & Lindenbergh, 2014), (Repola et al, 2018) (Sun & Zhang, 2019), with the purpose of assessing their morphology and conditions (Torresani & Remondino, 2019) (Luigi Barazzetti et al, 2020) (Costantino et al, 2022). Indeed, in recent years, accurate 3D reconstruction of heritage assets has been realized, through the use of high-resolution smartphone-based videogrammetry, which demonstrates the suitability of this kind of output, with respect to heritage documentation (Murtiyoso & Grussenmeyer, 2021), (Ortiz-Coder & Cabecera, 2021a), (Ortiz-Coder & Cabecera, 2021b). Another line of research focuses on the implementation of supervised/unsupervised machine learning systems for the automatic segmentation or classification of 2D or 3D outputs, such as, on the one hand, UV maps, orthoimages or textures, and, on the other hand, point clouds.…”