Merely Available: Products May Be Effective Without Actual Consumption

Faro, David; Heller, Monika D.; Irmak, Caglar

doi:10.1037/e519702015-072

Cited by 4 publications

(5 citation statements)

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“…The reporting of results in a document also means that the changes must be observed in a side by side manner, which makes them harder to perceive than in a 3D visualization software such as Meshlab, for instance, where it is possible to instantly switch between point clouds placed in the same exact place. In order to provide some quantitative results, we performed experiments in a meeting room of the Department of Mechanical Engineering (DEM) at the University of Aveiro, for which a laser scan was acquired with a FARO Focus Laser Scanner [62]. Given the high precision of the FARO laser sensor, a point cloud of the scan was considered as the ground truth to evaluate the proposed process of registration based on fiducial markers, and compare it to a Google Tango reconstruction [63], as well as a reconstruction with registration refinement using ICP [30].…”

Section: Evaluation Methodologymentioning

confidence: 99%

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Enhancement of RGB-D Image Alignment Using Fiducial Markers

Madeira

Oliveira

Dias

2020

Sensors

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Three-dimensional (3D) reconstruction methods generate a 3D textured model from the combination of data from several captures. As such, the geometrical transformations between these captures are required. The process of computing or refining these transformations is referred to as alignment. It is often a difficult problem to handle, in particular due to a lack of accuracy in the matching of features. We propose an optimization framework that takes advantage of fiducial markers placed in the scene. Since these markers are robustly detected, the problem of incorrect matching of features is overcome. The proposed procedure is capable of enhancing the 3D models created using consumer level RGB-D hand-held cameras, reducing visual artefacts caused by misalignments. One problem inherent to this solution is that the scene is polluted by the markers. Therefore, a tool was developed to allow their removal from the texture of the scene. Results show that our optimization framework is able to significantly reduce alignment errors between captures, which results in visually appealing reconstructions. Furthermore, the markers used to enhance the alignment are seamlessly removed from the final model texture.

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Section: Evaluation Methodologymentioning

confidence: 99%

“…The laser scan of the meeting room was acquired with a FARO Focus Laser Scanner [62]. A single point cloud was obtained from the merging of several scans, in Cloud Compare.…”

Section: Collecting Ground Truthmentioning

confidence: 99%

Enhancement of RGB-D Image Alignment Using Fiducial Markers

Madeira

Oliveira

Dias

2020

Sensors

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“…The quadruped walking robot, Boston Dynamics Spot [81], was employed to the stop-and-go scanning system. It was equipped with a MLS, Velodyne VLP [82], to enhance the robot localization, and a TLS, FARO Focus 3D laser scanner [83], which is capable of rectifying auto-leveling discrepancies up to 2 degrees of misalignment for precise 3D mapping, as depicted in Figure 10. The FARO scanner was wirelessly connected to the robot system via a fixed IP.…”

Section: Data Collection With a Stop-and-go Scanning Systemmentioning

confidence: 99%

Automated Point Cloud Registration Approach Optimized for a Stop-and-Go Scanning System

Park,

Ju,

Nguyen

et al. 2023

Sensors

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The latest advances in mobile platforms, such as robots, have enabled the automatic acquisition of full coverage point cloud data from large areas with terrestrial laser scanning. Despite this progress, the crucial post-processing step of registration, which aligns raw point cloud data from separate local coordinate systems into a unified coordinate system, still relies on manual intervention. To address this practical issue, this study presents an automated point cloud registration approach optimized for a stop-and-go scanning system based on a quadruped walking robot. The proposed approach comprises three main phases: perpendicular constrained wall-plane extraction; coarse registration with plane matching using point-to-point displacement calculation; and fine registration with horizontality constrained iterative closest point (ICP). Experimental results indicate that the proposed method successfully achieved automated registration with an accuracy of 0.044 m and a successful scan rate (SSR) of 100% within a time frame of 424.2 s with 18 sets of scan data acquired from the stop-and-go scanning system in a real-world indoor environment. Furthermore, it surpasses conventional approaches, ensuring reliable registration for point cloud pairs with low overlap in specific indoor environmental conditions.

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“…Modern TLS devices measure approximately one million points per second with an accuracy of a few millimetres (e.g. Faro, 2014;Leica Geosystems, 2014) Figure 4a. However, the TLS method is relatively time consuming, as only relatively small areas can be scanned at one time (Alho et al, 2009;Williams et al, 2014).…”

Section: Laser Scanning Techniquesmentioning

confidence: 99%

Modern empirical and modelling study approaches in fluvial geomorphology to elucidate sub-bend-scale meander dynamics

Kasvi

Hooke

Kurkela

et al. 2017

Progress in Physical Geography: Earth and Environment

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Major developments in theory and modelling techniques have taken place within the past couple of decades in the field of the fluvial geomorphology. In this review, we examine the state-of-the-art empirical and modelling approaches and discuss their potential benefits and shortcomings in deepening understanding of the sub-bend-scale fluvial geomorphology of meander bends. Meandering rivers represent very complex 3D flow and sedimentary processes. We focus on high-resolution techniques which have improved the spatial and temporal resolution of the data and thereby enabled investigation of processes, which have been thus far beyond the capacity of the measurement techniques. This review covers the measurement techniques applied in the field and in laboratory circumstances as well as the close-range remote sensing techniques and computational approaches. We discuss the key research questions in fluvial geomorphology of meander bends and demonstrate how the contemporary approaches have been and could be applied to solve these questions.

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Merely Available: Products May Be Effective Without Actual Consumption

Cited by 4 publications

References 0 publications

Enhancement of RGB-D Image Alignment Using Fiducial Markers

Enhancement of RGB-D Image Alignment Using Fiducial Markers

Automated Point Cloud Registration Approach Optimized for a Stop-and-Go Scanning System

Modern empirical and modelling study approaches in fluvial geomorphology to elucidate sub-bend-scale meander dynamics

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