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Automated meshing of sparse 3D point clouds
2003
Proceedings of the SIGGRAPH 2003 conference on Sketches & applications in conjunction with the 30th annual conference on Computer graphics and interactive techniques - GRAPH '03
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We propose a novel method that uses simulated annealing to create an optimal surface mesh by selecting a subset of a 3D point cloud and a triangulation that reliably represents the actual topology of the ...
This method provides a number of advantages: it copes well with noisy data, it produces a simplified mesh, particularly for scenes that contain many planes and, unlike greedy search techniques, it is much ...
There is therefore a need to be able to create surface meshes from these 3D point clouds automatically. ...
doi:10.1145/965441.965444
fatcat:nm2imcql4rdmvo7nqxgehfowuu
Automated meshing of sparse 3D point clouds
2003
Proceedings of the SIGGRAPH 2003 conference on Sketches & applications in conjunction with the 30th annual conference on Computer graphics and interactive techniques - GRAPH '03
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We propose a novel method that uses simulated annealing to create an optimal surface mesh by selecting a subset of a 3D point cloud and a triangulation that reliably represents the actual topology of the ...
This method provides a number of advantages: it copes well with noisy data, it produces a simplified mesh, particularly for scenes that contain many planes and, unlike greedy search techniques, it is much ...
There is therefore a need to be able to create surface meshes from these 3D point clouds automatically. ...
doi:10.1145/965400.965444
dblp:conf/siggraph/CooperCG03
fatcat:cshothtzjfbyrib72il3v4boo4
3D modelling photogrammetry to support acoustic measurements and derive geometries for simulation
2018
Zenodo
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The accuracy of the generated mesh and the level of detail may be low if photographic information in certain areas is sparse. ...
Photogrammetry is a 3D modelling method based on optical information which generates a spatial mesh through triangulation. ...
Five variables have been introduced in order to obtain a useful 3D model for acoustic purposes: 1. Camera objective 2. Accuracy of photo alignment 3. Tie point 4. Quality of dense point cloud 5. ...
doi:10.5281/zenodo.2583208
fatcat:vpivx6hqhff5po2fgvxvelx3gm
Automated Progress Controlling and Monitoring Using Daily Site Images and Building Information Modelling
2019
Buildings
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Using the proposed method, an accurate and complete 3D point cloud is generated for automatic outdoor and indoor progress monitoring throughout the project duration. ...
The coded targets are utilized to automatically resolve the scale and increase the accuracy of the point cloud generated using SFM and MVS methods. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/buildings9030070
fatcat:ayd6fzniuvg73grsetzfui25ua
A SMARTPHONE-BASED 3D PIPELINE FOR THE CREATIVE INDUSTRY – THE REPLICATE EU PROJECT
2017
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Thus the article focuses on the system architecture definition, selection of optimal frames for 3D cloud reconstruction, automated generation of sparse and dense point clouds, mesh modelling techniques ...
localization, etc.), including just very recently the possibility of running 3D reconstruction pipelines. ...
Figure 4 : 4 The main steps of the incremental bundle adjustment to derive camera poses and a sparse 3D point cloud. ...
doi:10.5194/isprs-archives-xlii-2-w3-535-2017
fatcat:gwo4jwsio5folhgedkfoghprre
Accuracy Evaluation of Dense Matching Techniques for Casting Part Dimensional Verification
2018
Sensors
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New measurement methods, such as dense matching techniques, rely on surface texture of casting parts to enable the 3D dense reconstruction of surface points without the need of an active light source as ...
This uncertainty evaluation exercise considers both artificial targets and key natural points to quantify the possibilities and scope of each approximation. ...
Acknowledgments: This research was supported by the Basque business development agency and is the output of ESTRATEUS project (Reference IE14-396) where novel manufacturing and measuring methods were studied ...
doi:10.3390/s18093074
pmid:30217026
pmcid:PMC6164126
fatcat:2irw4d4gwzhvtmyysluys55g5m
A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds
2022
Remote Sensing
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In the above context, this paper proposes a novel method of reconstructing 3D building shapes from sparse point clouds. ...
The latter are very useful in constructing digital representations of cities; however, reconstructing 3D building shapes from a sparse point cloud is a time-consuming process because automatic shape reconstruction ...
Conflicts of Interest: The author declares no conflict of interest. ...
doi:10.3390/rs14051278
fatcat:nnj5zbdahjejfgp5ojfq5wqd6i
3D MODELING WITH PHOTOGRAMMETRY BY UAVS AND MODEL QUALITY VERIFICATION
2017
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Similarly, the use of a terrestrial laser scanning technique allowed to product dense cloud and 3D models of the same area. ...
To assess the accuracy of the UAV-derived 3D models, a comparison between image and range-based methods was performed. ...
The first phase is that of alignment of the images and of the construction of the sparse point cloud (cloud points basis). ...
doi:10.5194/isprs-annals-iv-4-w4-129-2017
fatcat:qrqtnk5ilnchxacc5bkes7yjka
Vision guided robotic inspection for parts in manufacturing and remanufacturing industry
2020
Journal of Remanufacturing
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The resulting optimum 3D models are used in a virtual twin environment of the robotic inspection cell, to enable the user to select any points of interest for ultrasonic inspection. ...
The vision system, based on structure from motion, allows creating 3D models of the parts. Also, this work compares four different tool-paths for optimum image capture. ...
Both the sparse point cloud and the camera poses were used by patch-based multi-view stereo (PMVS2) [14] to obtain a dense point cloud. ...
doi:10.1007/s13243-020-00091-x
fatcat:gyv2675c4vdurbdk4h3vamx35i
To 3D or Not 3D: Choosing a Photogrammetry Workflow for Cultural Heritage Groups
2019
Heritage
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Two datasets have been used to compare and evaluate the FOSS applications based on the point clouds they produced. ...
The 3D reconstruction of real-world heritage objects using either a laser scanner or 3D modelling software is typically expensive and requires a high level of expertise. ...
COLMAP produces the 3D view while depicting cameras being added to the scene while it simultaneously forms the sparse point cloud. After completing this stage, the sparse cloud can be exported. ...
doi:10.3390/heritage2030112
fatcat:zvea3oyk2ravzi4b5encnhljpe
Overview of Available Open-Source Photogrammetric Software, its Use and Analysis
2014
International journal for innovation education and research
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) with final data in the form of point clouds, digital spatial models, orthophotos and other derived documents. ...
The aim of this paper is to provide a basic overview of some of the most suitable open-source photogrammetric software and point out their strengths and weaknesses. ...
Key tools of this system include: Bundlercalibration, bundle adjustment and reconstruction of sparse point cloud (Snavely, 2012) ; PMVS2densification of point cloud; Yasutaka Furukawa is its author ...
doi:10.31686/ijier.vol2.iss4.170
fatcat:sxy5shns4nhb7oyzu64buxzvgi
AN ACCURACY ASSESSMENT OF AUTOMATED PHOTOGRAMMETRIC TECHNIQUES FOR 3D MODELING OF COMPLEX INTERIORS
2012
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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APERO/MICMAC ( c IGN )which is an Open Source photogrammetric software was used for the production of the 3D photogrammetric point cloud which was compared to the one acquired by a Leica Scanstation 2 ...
We try to evaluate the automated photogrammetric techniques not only in terms of their geometric quality compared to laser scanning but also in terms of cost in money, acquisition and computational time ...
The CloudCompare is an open source 3D point cloud and mesh processing and comparing software. ...
doi:10.5194/isprsarchives-xxxix-b3-23-2012
fatcat:x64cnxf2gvd2razuoz2cvrstc4
FIRST ASSESSMENTS ON HERITAGE SCIENCE ORIENTED IMAGE-BASED MODELING USING LOW-COST MODIFIED AND MOBILE CAMERAS
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Although, the results of the integration of these types of sensors and techniques are often not evaluated as metric products. ...
The presented research combines the above-mentioned instrumentation and software to implement and evaluate low-cost 3D modeling solutions on heritage science-oriented case studies, but also to perform ...
UVAb and IRA point clouds contained a low amount of noise. For OBJ2, ZA and VSfM were able to only partially reconstruct the scene (figure 2) and produced relatively sparse results. ...
doi:10.5194/isprs-archives-xlii-2-w17-23-2019
fatcat:puc5rvho75alzchvbxfv4ei32m
On the segmentation of 3D LIDAR point clouds
2011
2011 IEEE International Conference on Robotics and Automation
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This paper presents a set of segmentation methods for various types of 3D point clouds. Segmentation of dense 3D data (e.g. ...
Segmentation of sparse 3D data (e.g. ...
By leveraging the sensor scanning pattern, the Mesh Based method is optimised for 3D point cloud data in a single sensor frame. ...
doi:10.1109/icra.2011.5979818
dblp:conf/icra/DouillardUKVQMF11
fatcat:xjt2qfbmxvaajgwaiixwcxqz2e
Adapted sampling for 3D X-ray computed tomography
[article]
2015
arXiv
pre-print
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A relevant mesh is then built from this cloud by way of tetrahedralization. ...
In this paper, we introduce a method to build an adapted mesh representation of a 3D object for X-Ray tomography reconstruction. ...
AUTOMATED 3D POINTCLOUD SAMPLING OF THE
RECONSTRUCTION VOLUME The mesh representation could be well adapted to the object in reconstruction when the mesh nodes are located on the 3D object interfaces ...
arXiv:1507.08030v1
fatcat:iwdjikhf7vf63bqcbh5edjmzva
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