Academic literature on the topic 'Cloudcompare'
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Journal articles on the topic "Cloudcompare"
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Batakanwa, Nicholas, and Tomasz Lipecki. "The use of video camera to create metric 3D model of engineering objects." Geoinformatica Polonica 19 (2020): 59–71. http://dx.doi.org/10.4467/21995923gp.20.006.12827.
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The article presents the possibilities of using a video camera to create a 3D metric model of engineering objects using Agisoft and CloudCompare software. Traditional photogrammetry technique does not always match up with production urgency needed by the market. Complexity is seen when used in huge objects leading to rise of cost, time and tediousness of the work. The use of Video Camera technique here termed as videogrammetry technique is comparable to taking pictures, however, it allows to speed up the process of obtaining data, which in many cases is a key element in anyb any project or research. The analysis of the quality of 3D modelling of the three filmed objects was performed, which allowed the authors to refine the procedure for acquiring images for spatial analyses. The applied technique of “videogrammetry” is comparable to taking pictures, but allows the data acquisition process to speed up, which in many cases is a key element in field research. 3D objects videos from no-metric camera were processed by Agisoft Metashape. To be able to assess the accuracy of the videogrammetry data, a well-established Laser scanner technique’s data was used for comparison. The laser scanner data were pre-processed in Autodesk Recap. Manual registration was performed utilizing 14 points from the three scans. The two 3D models were exported to CloudCompare software for comparison and further analysis. An analysis of the quality of 3D modelling of the three objects filmed was performed, which allowed refining the procedure for obtaining images for spatial analysis. The article presents the possibilities of using a non-metric mobile phone video camera “videogrammetry” to create a metric 3D model of engineering objects using Agisoft and CloudCompare software. In CloudCompare a registration, cloud to cloud (C2C) and profile to profile analysis was performed to determine the uncertainty of the 3D model produced from videogrammetry data determined as distance of separation between the two models. Results show average distance of separation between laser scanner and videogrammetry derived 3D model point cloud to be 34cm, the average profile separation was 25 cm in XY plane and 1.9 cm in Z-plane. Using Cloud to Cloud PCV the average difference of 84 cm was determined.
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Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprsarchives-xli-b5-799-2016.
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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmenting massive 3D point clouds into individual planar facets, inside a convenient software environment was lacking. FACETS is a dedicated plugin within CloudCompare v2.6.2 (<a href="http://cloudcompare.org/"target="_blank">http://cloudcompare.org/</a> ) implemented to perform planar facet extraction, calculate their dip and dip direction (i.e. azimuth of steepest decent) and report the extracted data in interactive stereograms. Two algorithms perform the segmentation: Kd-Tree and Fast Marching. Both divide the point cloud into sub-cells, then compute elementary planar objects and aggregate them progressively according to a planeity threshold into polygons. The boundaries of the polygons are adjusted around segmented points with a tension parameter, and the facet polygons can be exported as 3D polygon shapefiles towards third party GIS software or simply as ASCII comma separated files. One of the great features of FACETS is the capability to explore planar objects but also 3D points with normals with the stereogram tool. Poles can be readily displayed, queried and manually segmented interactively. The plugin blends seamlessly into CloudCompare to leverage all its other 3D point cloud manipulation features. A demonstration of the tool is presented to illustrate these different features. While designed for geological applications, FACETS could be more widely applied to any planar objects.
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Nagendran, Sharan Kumar, Mohd Ashraf Mohamad Ismail, and Yan Tung Wen. "Photogrammetry approach on geological plane extraction using CloudCompare FACET plugin and scanline survey." Bulletin of the Geological Society of Malaysia 68 (December 31, 2019): 151–58. http://dx.doi.org/10.7186/bgsm68201916.
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Dewez, T. J. B., D. Girardeau-Montaut, C. Allanic, and J. Rohmer. "FACETS : A CLOUDCOMPARE PLUGIN TO EXTRACT GEOLOGICAL PLANES FROM UNSTRUCTURED 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 16, 2016): 799–804. http://dx.doi.org/10.5194/isprs-archives-xli-b5-799-2016.
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Geological planar facets (stratification, fault, joint…) are key features to unravel the tectonic history of rock outcrop or appreciate the stability of a hazardous rock cliff. Measuring their spatial attitude (dip and strike) is generally performed by hand with a compass/clinometer, which is time consuming, requires some degree of censoring (i.e. refusing to measure some features judged unimportant at the time), is not always possible for fractures higher up on the outcrop and is somewhat hazardous. 3D virtual geological outcrop hold the potential to alleviate these issues. Efficiently segmenting massive 3D point clouds into individual planar facets, inside a convenient software environment was lacking. FACETS is a dedicated plugin within CloudCompare v2.6.2 (<a href="http://cloudcompare.org/"target="_blank">http://cloudcompare.org/</a> ) implemented to perform planar facet extraction, calculate their dip and dip direction (i.e. azimuth of steepest decent) and report the extracted data in interactive stereograms. Two algorithms perform the segmentation: Kd-Tree and Fast Marching. Both divide the point cloud into sub-cells, then compute elementary planar objects and aggregate them progressively according to a planeity threshold into polygons. The boundaries of the polygons are adjusted around segmented points with a tension parameter, and the facet polygons can be exported as 3D polygon shapefiles towards third party GIS software or simply as ASCII comma separated files. One of the great features of FACETS is the capability to explore planar objects but also 3D points with normals with the stereogram tool. Poles can be readily displayed, queried and manually segmented interactively. The plugin blends seamlessly into CloudCompare to leverage all its other 3D point cloud manipulation features. A demonstration of the tool is presented to illustrate these different features. While designed for geological applications, FACETS could be more widely applied to any planar objects.
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Rajendra, Y. D., S. C. Mehrotra, K. V. Kale, R. R. Manza, R. K. Dhumal, A. D. Nagne, and A. D. Vibhute. "Evaluation of Partially Overlapping 3D Point Cloud's Registration by using ICP variant and CloudCompare." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 891–97. http://dx.doi.org/10.5194/isprsarchives-xl-8-891-2014.
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Terrestrial Laser Scanners (TLS) are used to get dense point samples of large object’s surface. TLS is new and efficient method to digitize large object or scene. The collected point samples come into different formats and coordinates. Different scans are required to scan large object such as heritage site. Point cloud registration is considered as important task to bring different scans into whole 3D model in one coordinate system. Point clouds can be registered by using one of the three ways or combination of them, Target based, feature extraction, point cloud based. For the present study we have gone through Point Cloud Based registration approach. We have collected partially overlapped 3D Point Cloud data of Department of Computer Science & IT (DCSIT) building located in Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. To get the complete point cloud information of the building we have taken 12 scans, 4 scans for exterior and 8 scans for interior façade data collection. There are various algorithms available in literature, but Iterative Closest Point (ICP) is most dominant algorithms. The various researchers have developed variants of ICP for better registration process. The ICP point cloud registration algorithm is based on the search of pairs of nearest points in a two adjacent scans and calculates the transformation parameters between them, it provides advantage that no artificial target is required for registration process. We studied and implemented three variants Brute Force, KDTree, Partial Matching of ICP algorithm in MATLAB. The result shows that the implemented version of ICP algorithm with its variants gives better result with speed and accuracy of registration as compared with CloudCompare Open Source software.
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Nagle-McNaughton, Timothy, and Rónadh Cox. "Measuring Change Using Quantitative Differencing of Repeat Structure-From-Motion Photogrammetry: The Effect of Storms on Coastal Boulder Deposits." Remote Sensing 12, no. 1 (December 20, 2019): 42. http://dx.doi.org/10.3390/rs12010042.
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Repeat photogrammetry is increasingly the go-too tool for long-term geomorphic monitoring, but quantifying the differences between structure-from-motion (SfM) models is a developing field. Volumetric differencing software (such as the open-source package CloudCompare) provides an efficient mechanism for quantifying change in landscapes. In this case study, we apply this methodology to coastal boulder deposits on Inishmore, Ireland. Storm waves are known to move these rocks, but boulder transportation and evolution of the deposits are not well documented. We used two disparate SfM data sets for this analysis. The first model was built from imagery captured in 2015 using a GoPro Hero 3+ camera (fisheye lens) and the second used 2017 imagery from a DJI FC300X camera (standard digital single-lens reflex (DSLR) camera); and we used CloudCompare to measure the differences between them. This study produced two noteworthy findings: First, volumetric differencing reveals that short-term changes in boulder deposits can be larger than expected, and that frequent monitoring can reveal not only the scale but the complexities of boulder transport in this setting. This is a valuable addition to our growing understanding of coastal boulder deposits. Second, SfM models generated by different imaging hardware can be successfully compared at sub-decimeter resolution, even when one of the camera systems has substantial lens distortion. This means that older image sets, which might not otherwise be considered of appropriate quality for co-analysis with more recent data, should not be ignored as data sources in long-term monitoring studies.
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Chun Yee, Glen Lim, Yeo Joon Hock, Tsuyoshi Nishiwaki, Kenta Moriyasu, and Kenichi Harano. "Abrasion wear analysis in running shoes using a gridded methodology with CIE-L-a-b colour identification." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 233, no. 3 (February 14, 2018): 333–41. http://dx.doi.org/10.1177/1754337118755270.
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Wear identification and projection have eluded shoe manufacturers due to the myriad of factors that affect the abrasion wear of shoes. Using a gridded three-dimensional cloud comparison in CloudCompare software, abrasion wear thickness of shoes was identified using the CIE-L-a-b colour system that is interpolated with the physical formula representation of colours. After obtaining the thickness lost, other wear factors like the material properties of the shoe sole, the runners’ personal profile and the running schedule were combined for wear projection. The methodological process from a non-destructive wear detection to wear projection allows shoe manufacturers to reduce the iterations of wear testing while maximizing the entire analysis of shoe wear. Shoe samples were kindly sponsored by ASICS Institute of Sport Science.
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Tung, Wen Yan, Sharan Kumar Nagendran, and Mohd Ashraf Mohamad Ismail. "3D rock slope data acquisition by photogrammetry approach and extraction of geological planes using FACET plugin in CloudCompare." IOP Conference Series: Earth and Environmental Science 169 (July 31, 2018): 012051. http://dx.doi.org/10.1088/1755-1315/169/1/012051.
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Fuentes Porto, Alba, Elisa María Díaz-González, Manuel Drago Díaz-Alemán, and Esteban Manuel Amador-García. "Proceso de registro y seguimiento de daños morfológicos en metal arqueológico mediante documentación 3D." Ge-conservacion 19, no. 1 (June 16, 2021): 309–19. http://dx.doi.org/10.37558/gec.v19i1.1002.
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Gracias a la revolución tecnológica que vive el campo de la documentación del patrimonio vemos cómo los registros 3D se consolidan como recurso documental y se extienden con infinidad de propósitos, entre ellos los estudios morfométricos. Con la intención de contribuir en este campo, proponemos un método encaminado a la detección y cuantificación de cambios formales en bienes de naturaleza metálica, un tipo de material susceptible de sufrir daños físicos en un corto período de tiempo. La puesta en práctica de dicha metodología se ejemplifica a través del estudio efectuado sobre un casco de hierro del s. XVI, conservado en un avanzado estado de mineralización. Fue registrado antes y después de un préstamo temporal apoyándonos en dos sistemas de gran difusión en el campo de la digitalización 3D: el escaneado por luz estructurada y la fotogrametría. Finalmente, se compararon sus registros mediante la herramienta de análisis de datos 3D CloudCompare para detectar sus posibles diferencias.
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Nulty, Adam B. "A Comparison of Full Arch Trueness and Precision of Nine Intra-Oral Digital Scanners and Four Lab Digital Scanners." Dentistry Journal 9, no. 7 (June 23, 2021): 75. http://dx.doi.org/10.3390/dj9070075.
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(1) Background: The purpose of this study is to evaluate the full arch scan accuracy (precision and trueness) of nine digital intra-oral scanners and four lab scanners. Previous studies have compared the accuracy of some intra-oral scanners, but as this is a field of quickly developing technologies, a more up-to-date study was needed to assess the capabilities of currently available models. (2) Methods: The present in vitro study compared nine different intra-oral scanners (Omnicam 4.6; Omnicam 5.1; Primescan; CS 3600; Trios 3; Trios 4; Runyes; i500; and DL206) as well as four lab light scanners (Einscan SE; 300e; E2; and Ineos X5) to investigate the accuracy of each scanner by examining the overall trueness and precision. Ten aligned and cut scans from each of the intra-oral and lab scanners in the in vitro study were brought into CloudCompare. A comparison was made with the master STL using the CloudCompare 3D analysis best-fit algorithm. The results were recorded along with individual standard deviation and a colorimetric map of the deviation across the surface of the STL mesh; a comparison was made to the master STL, quantified at specific points. (3) Results: In the present study, the Primescan had the best overall trueness (17.3 ± 4.9), followed by (in order of increasing deviation) the Trios 4 (20.8 ± 6.2), i500 (25.2 ± 7.3), CS3600 (26.9 ± 15.9), Trios 3 (27.7 ± 6.8), Runyes (47.2 ± 5.4), Omnicam 5.1 (55.1 ± 9.5), Omnicam 4.6 (57.5 ± 3.2), and Launca DL206 (58.5 ± 22.0). Regarding the lab light scanners, the Ineos X5 had the best overall trueness with (0.0 ± 1.9), followed by (in order of increasing deviation) the 3Shape E2 (3.6 ± 2.2), Up3D 300E (12.8 ± 2.7), and Einscan SE (14.9 ± 9.5). (4) Conclusions: This study confirms that all current generations of intra-oral digital scanners can capture a reliable, reproducible full arch scan in dentate patients. Out of the intra-oral scanners tested, no scanner produced results significantly similar in trueness to the Ineos X5. However, the Primescan was the only one to be statistically of a similar level of trueness to the 3Shape E2 lab scanner. All scanners in the study had mean trueness of under 60-micron deviation. While this study can compare the scanning accuracy of this sample in a dentate arch, the scanning of a fully edentulous arch is more challenging. The accuracy of these scanners in edentulous cases should be examined in further studies.
Dissertations / Theses on the topic "Cloudcompare"
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Schölund, Oskar. "Analys av sprickutveckling på markytan i Kiirunavaara gruvområde samt utvärdering av fotogrammetri." Thesis, Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-77531.
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LKAB (Luossavaara-Kiirunavara Aktiebolag) bryter och förädlar järnmalm i Norrbotten. Under 2018 omsatte LKAB cirka 26 miljarder kronor. Koncernen äger två underjordsgruvor, en i Malmberget och en i Kiruna, samt tre dagbrottsgruvor i Svappavaara, varav en för tillfället är i drift. Brytningsmetoden som används i Kiirunavaara-gruvan är storskalig skivrasbrytning. Metoden bygger på principen att sidoberget, i första hand hängväggen, successivt bryts sönder, och fyller upp det utlastade utrymmen. Sönderbrytningen är nödvändig för att brytningsmetoden skall fungera optimalt. En effekt av detta är att omgivande berg så småningom deformeras. Detta omöjliggör, på sikt, att ha bebyggelse och infrastruktur i det område som berörs av större deformationer, vilket har lett till behovet av en pågående samhällsomvandling. Detta innebär att det är av stor vikt att, om möjligt, förbättra förståelsen för deformations- och uppblockningsmekanismer i bergmassan, till följd av skivrasbrytning. Examensarbetet är indelat i två delar: Första delen syftar till att ta fram en rekommendation för en programvara och analysmetodik som kan användas för utvärdering av strukturriktningar från UAV-data, detta då det på många ställen kring gruvområdet är det en säkerhetsrisk att beträda områden för att utföra strukturkartering. Andra delen omfattar analys och utvärdering av strukturers eventuella påverkan på uppblockning- och deformationsprocessen vid LKAB:s Kiirunavaaragruva för liggvägg, hängvägg samt Sjömalmen-området. Detta innefattar dels tillämpning av ovannämnd programvara och metodik, dels analys och tolkning av alla tillgängliga sprickkarteringar på markytan, samt visualisering, t.ex. med rosdiagram, i CAD-format, etc. I examensarbetet utfördes en mindre fältstudie, detta för att verifiera vad tidigare studier visat på, samt för att testa olika programvaror. Resultaten verifierade de tidigare studierna, att kartering med CloudCompare ger bra resultat jämfört med traditionell kartering med kompass. Från de erhållna resultaten från fältstudien utfördes sedan ett större, storskaligt test över rasgropen. Resultaten visade att den kommersiella programvaran Pix4D tillsammans med den öppna och fria programvaran CloudCompare och plugin-programmet qFacet fungerar bra för att skapa 3D-modeller och analysera bergmekaniska parametrar från UAV-data. Dock var det endast storskaliga strukturer (ytor) som gick att extrahera ur modellerna. Flertalet av dessa visade korrelation med de sprickorienteringarna gjorda från underjordskarteringar för häng- och liggväggen i KUJ och Sjömalmen. För den utförda sammanställningen av sprickinventeringen på häng- och liggväggen samt tolkade strukturer på hängväggen, visade resultaten på att förekomsten av sprickor, sjunkhål samt kanter finns i områden med hög koncentration av deformationszoner/strukturer. Detta är tydligast i norra delen av hängväggen. Sprickgrupperna på markytan uppstår oftast parallellt med deformationszonerna och i flera fall uppstår och utvecklas en kant i de områden där dessa är lokaliserade. Bedömd ”raskant” uppstår ungefär två år efter att de första sprickorna upptäckts. Orienteringen för sprickor och kanter stämmer relativt bra överens med tidigare utförda underjordskarteringar. För sjunkhålen är majoriteten koncentrerade till ett mindre område på hängväggen. I området förekommer två deformationszoner, en som korsar området och en som stupar ner under området. Karaktären på dessa deformationszoner kan vara orsaken till uppkomsten av sjunkhålen i området.
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Eskina, Ksenija, and Ali Watoot. "En jämförelsestudie mellan punktmoln framställda med UAS-fotogrammetri och Laserdata NH på ett industriområde i Västsverige." Thesis, Högskolan Väst, Avdelningen för Matematik, Data- och Lantmäteriteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-15321.
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Framställning av digitala terrängmodell (Digital Terrain Model, DTM) är en viktig del för projekteringsunderlag vid markrelaterade frågor. Grunden för en DTM är punktmolnet som innehåller grunddata från mätningen. DTM är användbara i många olika områden, kvalitén bestäms beroende på vilken uppdrag som DTM gäller för. UAS-fotogrammetri är en av metoder som tillämpas för att framställa en DTM, det går även att framställa en DTM utifrån punktmoln från Laserdata NH. En DTM är en modell av endast markyta, där data samlas genom mätning av ett visst objekt. Syftet med detta examensarbete som är utfört vid Institutionen för ingenjörsvetenskap vid Högskolan Väst var att jämföra två olika metoder för framställning av ett punktmoln som är till underlag för en DTM. Punktmoln som framställs med egna mätningar från UASfotogrammetri och ett färdigt punktmoln från Laserdata NH. Målet med jämförelsen är att undersöka om det går att ersätta UAS-fotogrammetri med den kostnadseffektiva Laserdata NH i projektet för ett industriområde (Lödöse varvet) i Lilla Edets kommun, samt om det går att ersätta den överlag. Med hjälp av Agisoft Metashape programvaran framställdes det punktmolnet från mätning från UAS av modellen DJI Phantom 4 Advanced, sedan jämfördes den mot det färdiga punktmolnet från Laserdata NH i CloudCompare programmet. Resultatet på denna studie visar att det går att ersätta UAS-fotogrammetri mot Laserdata NH i just denna och andra liknande projekt som har samma syfte och viss bestämd noggrannhet då punktmolnen inte avviker signifikant från varandra. Medan det inte går att ersätta de mot varandra överlag, då UAS-fotogrammetri erhåller högre noggrannhet när det gäller framställning av ett punktmoln jämfört med vad Laserdata NH har för noggrannhet på sina mätningarGeneration of Digital Terrain Model (DTM) is an essential part in project planning in questions related to spatial planning. Basis for the DTM is the point cloud which obtains initial data from the measurement. DTM can be used in different areas, accepted quality level is depending on the assignment for which DTM is produced. UAS-photogrammetry is one of the methods which is used for DTM generation, but it is possible to produce DTM from point cloud originated from Laserdata NH. A DTM is a model representing entirely terrain surface, where the data used for its generation gathers from measuring of a certain object. The purpose of this study accomplished at Department of Engineering Science at University West was to compare two different methods for point cloud generation as a basis for DTM. First point cloud generated comes from own measurement with UAS-photogrammetry and second is a point cloud from acquired Laserdata NH. The goal of the comparison is to examine if it is possible to replace UAS-photogrammetry with the cost effective Laserdata NH in the project for the industrial area (Lödöse varvet) in Lilla Edet municipality, and if it is possible to replace it generally. With help of Agisoft Metashape software the point cloud from UAS-measurement with DJI Phantom 4 Advanced was generated and then compared to Laserdata NH point cloud in CloudCompare program. Result of this study is showing that it is possible to replace UAS-photogrammetry with Laserdata NH in this specific and others similar projects which have same purpose and certain decided precision since point clouds are not significantly deviating from each other. While it is not possible to replace them generally, as UAS-photogrammetry obtains higher precision concerning point cloud generation compared to accuracy that Laserdata NH has in its measurements.
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Tuhá, Silvia. "Využití mračna bodů v informačním modelování budov." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2020. http://www.nusl.cz/ntk/nusl-414319.
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The main aim of this master thesis is utilization of the laser scanning technology in the field of information modelling of historical objects (HBIM). The optimal workflow of creating the information model in the Autodesk Revit has been demonstrated. The workflow deals with the historical value of the object. For the purposes of this work, the object of the mausoleum Fabara has been selected. Furthermore, the master thesis focuses on the possibilities of publishing the resulting model.
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Kroupa, Ondřej. "Digitální model reliéfu v areálu Admas." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2017. http://www.nusl.cz/ntk/nusl-390213.
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The goal of this thesis is to scan part of the complex research center AdMaS using terrestrial laser scanner, from obtained data draw up a 3D terrain model and compare the height accuracy with conventional terrestrial measurement. The thesis is focused to software, which allow processing of point clouds and prepare the 3D model. The output of this work is the 3D terrain model and two transverse profiles for vertical comparison of two measurement methods.
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Carretta, Nicola. "Confronto tra tecniche di remote sensing per la caratterizzazione di un ammasso roccioso presso le Gole di Scascoli, Loiano (BO)." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11882/.
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Il versante sinistro delle Gole di Scascoli (BO) è caratterizzato da una marcata tendenza evolutiva per crollo e ribaltamento. Negli ultimi 25 anni si sono verificati eventi parossistici con volumi di roccia coinvolti rispettivamente di 7000 m3, 20000 m3 e 35000 m3. Il sito è di grande rilevanza a causa del forte fattore di rischio rappresentato per la strada di fondovalle ad esso adiacente.
Il lavoro di tesi è stato finalizzato allo studio dei fenomeni di versante di una parete rocciosa inaccessibile nota in letteratura come “ex-Mammellone 1” mediante tecniche di telerilevamento quali TLS (Terrestrial Laser Scanning) e CRP (Close Range Photogrammetry) al fine affiancare il rilievo geomeccanico soggettivo dell’area svolto nel 2003 da ENSER Srl in seguito ai fenomeni di crollo del 2002. Lo sviluppo di tecnologie e metodi innovativi per l’analisi territoriale basata sull’impiego di UAV (Unmanned Aerial Vehicle, meglio noti come Droni), associata alle tecniche di fotogrammetria digitale costituisce un elemento di notevole ausilio nelle pratiche di rilevamento in campo di sicurezza e tempi di esecuzione. Il lavoro ha previsto una prima fase di rilevamento areo-fotogrammetrico mediante strumentazione professionale e amatoriale, a cui è seguita l’elaborazione dei rispettivi modelli.
I diversi output sono stati confrontati dal punto di vista geomorfologico, geometrico, geomeccanico e di modellazione numerica di caduta massi.
Dal lavoro è stato possibile indagare l’evoluzione morfologica del sito in esame negli ultimi 10 anni, confrontare diversi metodi di rilevamento e analisi dati, sperimentare la robustezza e ripetibilità geometrica del metodo fotogrammetrico per il rilievo di fronti rocciosi e mettere a punto un metodo semiautomatico di individuazione e analisi delle giaciture delle discontinuità.
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Church, Elizabeth. "The forensic utility of photogrammetry in surface scene documentation." Thesis, 2019. https://hdl.handle.net/2144/38598.
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In current forensic practice, there are few standards for outdoor crime scene documentation, despite the need for such documentation to be accurate and precise in order to preserve evidence. A potential solution to this is the implementation of image-based photogrammetry. Applied Structure from Motion (SfM) reconstructs models through image point comparisons. A 3D model is produced from a reference photoset that captures a 360-degree view of the subject and the software employs triangulation to match specific points, datums, across individual photos. The datums are arranged into a point-cloud that is then transformed into the final model. Modifying the point-cloud into a final product requires algorithms that adjust the points by building a textured mesh from them. One of the disadvantages of SfM is that the point-cloud can be “noisy,” meaning that the program is unable to distinguish the features of one datum from another due to similarities, creating coverage gaps within the meshed images. To compensate for this, the software can smooth portions of the model in a best-guess process during meshing. As commercial software does not disclose the adjustment algorithms, this documentation technique, while very useful in other disciplines that regularly apply SfM such as archaeology, would fail to meet the standards of the Daubert and Kumho criteria in a forensic setting.
A potential solution to this problem is to use open-source software, which discloses the adjustment algorithms to the user. It was hypothesized that the output of open-sourced software solutions would as accurate as the models produced with commercial software and with total station mapping techniques. To evaluate this hypothesis, a series of mock outdoor crime scenes were documented using SfM and traditional mapping techniques. The scenes included larger surface scatter and small surface scatter scenes. The large surface scatter scenes contained a dispersed set of plastic human remains, and various objects that might reasonably be associated with a crime scene. Ten of these scenes were laid out in 10 x 10 m units in a New England forested environment, each grid with a slightly different composition, and then documented using an electronic total station, data logger and digital camera. The small surface scatter scenes consisted of a pig mandible placed in different environments across two days of data collection. The resulting models were built using PhotoScan by AgiSoft, the commercial software, and MicMac for Mac OSX as the open-source comparison software. Accuracy is only part of the concern however; the full utility of any one of the workflows is defined additionally by the overall cost-effectiveness (affordability and accessibility) and the visual quality of the final model. Accuracy was measured by the amount of variance in fixed-datum measurements that remained consistent across scenes, whereas visual quality of the photogrammetric models were determined by cloud comparison histograms, which allows for comparison of models between software types and across different days of data collection. Histograms were generated using CloudCompare. Not all models that were rendered were useable—90% of large surface scatter models and 87.5% of small surface scatter models were useable.
While there was variance in the metric outputs between the total station and photogrammetric models, the average total variance in fixed-datum lengths for individual scenes was below 0.635 cm for six of the ten scenes. However, only one of the large surface scatter scenes produced measurement that were significantly different between the total station measurements and the software measurement. The maximum differences in measurement between the total station and software measurements were 0.0917 m (PhotoScan) and 0.178 m (MicMac). The minimum difference that was found for either software was 0.000 m, indicating exact measurement. The histograms for the large scatter scenes were comparable, with the commercial and open-source software-derived models having low standard deviations and mean distances between points. For the small surface scatter scenes, the histograms between software types varied depending on the environment and the lighting conditions on the day of data collection. Conditions such as light, ground foliage and topography affect model quality significantly, as well as the amount of available computing power. No such issues of losing objects or limitations of computing power were encountered when mapping by total station and processing the data in AutoCAD. This research shows that SfM has the potential to be a rapid, accurate and low-cost resource for forensic investigation. SfM methodology for outdoor crime scene documentation can be adapted to fit within evidentiary criteria through the use of open-source software and transparent processing, but there are limitations that must be taken into consideration.
Conference papers on the topic "Cloudcompare"
1
Matuzevičiūtė, Viktorija, and Dominykas Šlikas. "SKAITMENINIŲ ERDVINIŲ LAZERINIO SKENAVIMO DUOMENŲ KLASIFIKAVIMO ANALIZĖ IR TIKSLUMO TYRIMAS." In 24th Conference for Junior Researchers „Civilinė inžinerija ir geodezija“. Vilnius Gediminas Technical University, 2021. http://dx.doi.org/10.3846/geo.2021.004.
Full textAbstract:
Straipsnyje aptariami skaitmeninių erdvinių lazerinio skenavimo duomenų formatai, analizuojami šiame dar-be duomenims klasifikuoti naudotų programų „Global Mapper“, „LasTools“ ir „CloudCompare“ veikimo principai, nagrinėjami kiekviena programa gauti klasifikavimo rezultatai. Sugeneruoti kontroliniai profiliai, kiekviena sukla-sifikuota duomenų klasė palyginta su atitinkama pradinių duomenų klase, išanalizuotas duomenų pasiskirstymas abso-liučiojo atstumo nuo pradinių duomenų intervaluose, identifikuotos klasifikavimo klaidos.
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Shults, Roman, Khaini-Kamal Kassymkanova, Shugyla Burlibayeva, Daria Skopinova, Roman Demianenko, and Yurii Medvedskyi. "UAV Monitoring of Excavation Works." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.696.
Full textAbstract:
The first stage of any construction is carrying out excavation works. These works are high-priced and timeconsuming. Mostly, for geodetic control of the works, the surveyors are using total stations and GNSS equipment. Last decade, UAV technology was a breakthrough in the geodetic technologies market. One of the possible applications of UAV is the monitoring of excavation works. In the article, the opportunities and accuracy of UAV data while performing the excavation works were studied. The surveying of earth volume in the middle of construction works was made using DJI Phantom 4 UAV. The data were being processed using two photogrammetric software: Agisoft Metashape and PhotoModeler Premium. For comparison, the surveying also was made using a conventional total station. For each data source, the 3D models were generated. The obtained models were compared with each other in CloudCompare software. The comparison revealed the high accuracy of UAV data that satisfies customer’s requirements. For the case of two software comparing, it is better to process data using PhotoModeler. The PhotoModeler software allows performing in-depth data analysis and blunders searching.
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Gabara, Grzegorz, and Piotr Sawicki. "Study on 3D Point Clouds Accuracy of Elongated Object Reconstruction in Close Range – Comparison of Different Software." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.188.
Full textAbstract:
The image based point clouds generated from multiple different oriented photos enable 3D object reconstruction in a variety spectrum of close range applications. The paper presents the results of testing the accuracy the image based point clouds generated in disadvantageous conditions of digital photogrammetric data processing. The subject of the study was a long shaped object, i.e. the horizontal and rectilinear section of the railway track. DSLR Nikon D5100 camera, 16MP, equipped with the zoom lens (f = 18 ÷ 55mm), was used to acquire the block of terrestrial convergent and very oblique photos at different scales, with the full longitudinal overlap. The point clouds generated from digital images, automatic determination of the interior orientation parameters, the spatial orientation of photos and 3D distribution of discrete points were obtained using the successively tested software: RealityCapture, Photoscan, VisualSFM+SURE and iWitness+SURE. The dense point clouds of the test object generated with the use of RealityCapture and PhotoScan applications were filtered using MeshLab application. The geometric parameters of test object were determined by means of CloudCompare software. The image based dense point clouds allow, in the case of disadvantageous conditions of photogrammetric digital data processing, to determine the geometric parameters of a close range elongated object with the high accuracy (mXYZ < 1 mm).