3d Reconstruction With a Collaborative Approach Based on Smartphones and a Cloud-Based Server

Abstract

ABSTRACT:The paper presents a collaborative image-based 3D reconstruction pipeline to perform image acquisition with a smartphone and geometric 3D reconstruction on a server during concurrent or disjoint acquisition sessions. Images are selected from the video feed of the smartphone's camera based on their quality and novelty. The smartphone's app provides on-the-fly reconstruction feedback to users co-involved in the acquisitions. The server is composed of an incremental SfM algorithm that processes the received images by seamlessly merging them into a single sparse point cloud using bundle adjustment. Dense image matching algorithm can be lunched to derive denser point clouds. The reconstruction details, experiments and performance evaluation are presented and discussed.

Three-Dimensional Survey of Guattari Cave With Traditional and Mobile Phone Cameras

“…very narrow tunnels). Image-based 3D reconstruction methods using mobile devices have been used in research and apps for this purpose have begun appearing in the app stores for smart devices (Nocerino et al, 2017;Chikatsu et al, 2009;Fritsch et al, 2015). In this paper, we describe the survey of the Guattari cave, simultaneously performed with both a traditional and a smartphone camera.…”

Review of Methods for Documentation, Management, and Sustainability of Cultural Heritage. Case Study: Museum of King Jan III’s Palace at Wilanów

“…(3) preliminary image point matching; and (4) reconstruction of the geometry of acquired image net and geo-referencing data in an external coordinate system (e.g., national coordinate system) either by using reference points (measured with GNSS or by classic surveying with total station) or known camera locations, via iterative bundle adjustment. The MVS method is used for dense point cloud generation e.g., [27,63,71,72]. Three-dimensional shape reconstruction systems, which are based on digital images and utilize CV algorithms to create three-dimensional models automatically are still being developed (e.g., [66,[72][73][74][75][76]).…”

“…The MVS method is used for dense point cloud generation e.g., [27,63,71,72]. Three-dimensional shape reconstruction systems, which are based on digital images and utilize CV algorithms to create three-dimensional models automatically are still being developed (e.g., [66,[72][73][74][75][76]). The idea of a photogrammetric image-based approach is to establish correspondences between primitives extracted from minimum two (but usually more) images.…”

A Fully Automated Incremental Photogrammetric Processing Dedicated for Collaborative Remote-Computing Workflow

“…Whether if most of them are semi-automatic reproducible routines, as they remain isolated and case-studies dependant experiments, they are neither accessible to end-users nor aiming to cover the complete range of imaging modalities. Since the early stage of digital photogrammetry, remote-computing scenarios have been explored facing with robustness and versatility issues (Grussenmeyer et al, 2002, Nilsson et al, 2007, Heller et al, 2015, Alliez et al, 2017, Nocerino et al, 2017. Lately, the development and the deployment have been facilitating with the automation of both SFM and photogrammetric routines, including open-source packages (Moulon et al, n.d., Rupnik et al, 2017).…”