Academic literature on the topic 'SfM-MVS'
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Journal articles on the topic "SfM-MVS"
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Smith, M. W., J. L. Carrivick, and D. J. Quincey. "Structure from motion photogrammetry in physical geography." Progress in Physical Geography: Earth and Environment 40, no. 2 (November 26, 2015): 247–75. http://dx.doi.org/10.1177/0309133315615805.
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Accurate, precise and rapid acquisition of topographic data is fundamental to many sub-disciplines of physical geography. Technological developments over the past few decades have made fully distributed data sets of centimetric resolution and accuracy commonplace, yet the emergence of Structure from Motion (SfM) with Multi-View Stereo (MVS) in recent years has revolutionised three-dimensional topographic surveys in physical geography by democratising data collection and processing. SfM-MVS originates from the fields of computer vision and photogrammetry, requires minimal expensive equipment or specialist expertise and, under certain conditions, can produce point clouds of comparable quality to existing survey methods (e.g. Terrestrial Laser Scanning). Consequently, applications of SfM-MVS in physical geography have multiplied rapidly. There are many practical options available to physical geographers when planning a SfM-MVS survey (e.g. platforms, cameras, software), yet, many SfM-MVS end-users are uncertain as to the errors associated with each choice and, perhaps most fundamentally, the processes actually taking place as part of the SfM-MVS workflow. This paper details the typical workflow applied by SfM-MVS software packages, reviews practical details of implementing SfM-MVS, combines existing validation studies to assess practically achievable data quality and reviews the range of applications of SfM-MVS in physical geography. The flexibility of the SfM-MVS approach complicates attempts to validate SfM-MVS robustly as each individual validation study will use a different approach (e.g. platform, camera, georeferencing method, etc.). We highlight the need for greater transparency in SfM-MVS processing and enhanced ability to adjust parameters that determine survey quality. Looking forwards, future prospects of SfM-MVS in physical geography are identified through discussion of more recent developments in the fields of image analysis and computer vision.
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Berra, E. F., and M. V. Peppa. "ADVANCES AND CHALLENGES OF UAV SFM MVS PHOTOGRAMMETRY AND REMOTE SENSING: SHORT REVIEW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (December 22, 2020): 267–72. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-267-2020.
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Abstract. Interest in Unnamed Aerial Vehicle (UAV)-sourced data and Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) photogrammetry has seen a dramatic expansion over the last decade, revolutionizing the fields of aerial remote sensing and mapping. This literature review provides a summary overview on the recent developments and applications of light-weight UAVs and on the widely-accepted SfM - MVS approach. Firstly, the advantages and limitations of UAV remote sensing systems are discussed, followed by an identification of the different UAV and miniaturised sensor models applied to numerous disciplines, showing the range of systems and sensor types utilised recently. Afterwards, a concise list of advantages and challenges of UAV SfM-MVS is provided and discussed. Overall, the accuracy and quality of the SfM-MVS-derived products (e.g. orthomosaics, digital surface model) depends on the quality of the UAV data set, characteristics of the study area and processing tools used. Continued development and investigation are necessary to better determine the quality, precision and accuracy of UAV SfM-MVS derived outputs.
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Kalacska, Margaret, Oliver Lucanus, Leandro Sousa, Thiago Vieira, and Juan Arroyo-Mora. "Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry." Remote Sensing 10, no. 12 (November 29, 2018): 1912. http://dx.doi.org/10.3390/rs10121912.
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Substrate complexity is strongly related to biodiversity in aquatic habitats. We illustrate a novel framework, based on Structure-from-Motion photogrammetry (SfM) and Multi-View Stereo (MVS) photogrammetry, to quantify habitat complexity in freshwater ecosystems from Unmanned Aerial Vehicle (UAV) and underwater photography. We analysed sites in the Xingu river basin, Brazil, to reconstruct the 3D structure of the substrate and identify and map habitat classes important for maintaining fish assemblage biodiversity. From the digital models we calculated habitat complexity metrics including rugosity, slope and 3D fractal dimension. The UAV based SfM-MVS products were generated at a ground sampling distance (GSD) of 1.20–2.38 cm while the underwater photography produced a GSD of 1 mm. Our results show how these products provide spatially explicit complexity metrics, which are more comprehensive than conventional arbitrary cross sections. Shallow neural network classification of SfM-MVS products of substrate exposed in the dry season resulted in high accuracies across classes. UAV and underwater SfM-MVS is robust for quantifying freshwater habitat classes and complexity and should be chosen whenever possible over conventional methods (e.g., chain-and-tape) because of the repeatability, scalability and multi-dimensional nature of the products. The SfM-MVS products can be used to identify high priority freshwater sectors for conservation, species occurrences and diversity studies to provide a broader indication for overall fish species diversity and provide repeatability for monitoring change over time.
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Tavani, Stefano, Pablo Granado, Umberto Riccardi, Thomas Seers, and Amerigo Corradetti. "Terrestrial SfM-MVS photogrammetry from smartphone sensors." Geomorphology 367 (October 2020): 107318. http://dx.doi.org/10.1016/j.geomorph.2020.107318.
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Warfield, Angus D., and Javier X. Leon. "Estimating Mangrove Forest Volume Using Terrestrial Laser Scanning and UAV-Derived Structure-from-Motion." Drones 3, no. 2 (April 1, 2019): 32. http://dx.doi.org/10.3390/drones3020032.
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Mangroves provide a variety of ecosystem services, which can be related to their structuralcomplexity and ability to store carbon in the above ground biomass (AGB). Quantifying AGB inmangroves has traditionally been conducted using destructive, time-consuming, and costlymethods, however, Structure-from-Motion Multi-View Stereo (SfM-MVS) combined withunmanned aerial vehicle (UAV) imagery may provide an alternative. Here, we compared the abilityof SfM-MVS with terrestrial laser scanning (TLS) to capture forest structure and volume in threemangrove sites of differing stand age and species composition. We describe forest structure in termsof point density, while forest volume is estimated as a proxy for AGB using the surface differencingmethod. In general, SfM-MVS poorly captured mangrove forest structure, but was efficient incapturing the canopy height for volume estimations. The differences in volume estimations betweenTLS and SfM-MVS were higher in the juvenile age site (42.95%) than the mixed (28.23%) or mature(12.72%) age sites, with a higher stem density affecting point capture in both methods. These resultscan be used to inform non-destructive, cost-effective, and timely assessments of forest structure orAGB in mangroves in the future.
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Tavani, Stefano, Antonio Pignalosa, Amerigo Corradetti, Marco Mercuri, Luca Smeraglia, Umberto Riccardi, Thomas Seers, Terry Pavlis, and Andrea Billi. "Photogrammetric 3D Model via Smartphone GNSS Sensor: Workflow, Error Estimate, and Best Practices." Remote Sensing 12, no. 21 (November 4, 2020): 3616. http://dx.doi.org/10.3390/rs12213616.
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Geotagged smartphone photos can be employed to build digital terrain models using structure from motion-multiview stereo (SfM-MVS) photogrammetry. Accelerometer, magnetometer, and gyroscope sensors integrated within consumer-grade smartphones can be used to record the orientation of images, which can be combined with location information provided by inbuilt global navigation satellite system (GNSS) sensors to geo-register the SfM-MVS model. The accuracy of these sensors is, however, highly variable. In this work, we use a 200 m-wide natural rocky cliff as a test case to evaluate the impact of consumer-grade smartphone GNSS sensor accuracy on the registration of SfM-MVS models. We built a high-resolution 3D model of the cliff, using an unmanned aerial vehicle (UAV) for image acquisition and ground control points (GCPs) located using a differential GNSS survey for georeferencing. This 3D model provides the benchmark against which terrestrial SfM-MVS photogrammetry models, built using smartphone images and registered using built-in accelerometer/gyroscope and GNSS sensors, are compared. Results show that satisfactory post-processing registrations of the smartphone models can be attained, requiring: (1) wide acquisition areas (scaling with GNSS error) and (2) the progressive removal of misaligned images, via an iterative process of model building and error estimation.
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Piermattei, Livia, Luca Carturan, Fabrizio de Blasi, Paolo Tarolli, Giancarlo Dalla Fontana, Antonio Vettore, and Norbert Pfeifer. "Suitability of ground-based SfM–MVS for monitoring glacial and periglacial processes." Earth Surface Dynamics 4, no. 2 (May 20, 2016): 425–43. http://dx.doi.org/10.5194/esurf-4-425-2016.
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Abstract. Photo-based surface reconstruction is rapidly emerging as an alternative survey technique to lidar (light detection and ranging) in many fields of geoscience fostered by the recent development of computer vision algorithms such as structure from motion (SfM) and dense image matching such as multi-view stereo (MVS). The objectives of this work are to test the suitability of the ground-based SfM–MVS approach for calculating the geodetic mass balance of a 2.1 km2 glacier and for detecting the surface displacement of a neighbouring active rock glacier located in the eastern Italian Alps. The photos were acquired in 2013 and 2014 using a digital consumer-grade camera during single-day field surveys. Airborne laser scanning (ALS, otherwise known as airborne lidar) data were used as benchmarks to estimate the accuracy of the photogrammetric digital elevation models (DEMs) and the reliability of the method. The SfM–MVS approach enabled the reconstruction of high-quality DEMs, which provided estimates of glacial and periglacial processes similar to those achievable using ALS. In stable bedrock areas outside the glacier, the mean and the standard deviation of the elevation difference between the SfM–MVS DEM and the ALS DEM was −0.42 ± 1.72 and 0.03 ± 0.74 m in 2013 and 2014, respectively. The overall pattern of elevation loss and gain on the glacier were similar with both methods, ranging between −5.53 and + 3.48 m. In the rock glacier area, the elevation difference between the SfM–MVS DEM and the ALS DEM was 0.02 ± 0.17 m. The SfM–MVS was able to reproduce the patterns and the magnitudes of displacement of the rock glacier observed by the ALS, ranging between 0.00 and 0.48 m per year. The use of natural targets as ground control points, the occurrence of shadowed and low-contrast areas, and in particular the suboptimal camera network geometry imposed by the morphology of the study area were the main factors affecting the accuracy of photogrammetric DEMs negatively. Technical improvements such as using an aerial platform and/or placing artificial targets could significantly improve the results but run the risk of being more demanding in terms of costs and logistics.
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Moritani, R., S. Kanai, H. Date, Y. Niina, and R. Honma. "PLAUSIBLE RECONSTRUCTION OF AN APPROXIMATED MESH MODEL FOR NEXT-BEST VIEW PLANNING OF SFM-MVS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 465–71. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-465-2020.
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Abstract. Structure-from-Motion (SfM) and Multi-View Stereo (MVS) are widely used methods in three dimensional (3D) model reconstruction for an infrastructure maintenance purpose. However, if a set of images is not captured from well-placed positions, the final dense model can contain low-quality regions. Since MVS requires a much longer processing time than SfM as larger amounts of images are provided, it is impossible for surveyors to wait for the SfM–MVS process to complete and evaluate the geometric quality of a final dense model on-site. This challenge results in response inefficiency and the deterioration of dense models in 3D model reconstruction. If the quality of the final dense model can be predicted immediately after SfM, it will be possible to revalidate the images much earlier and to obtain the dense model with better quality than the existing SfM–MVS process. Therefore, we propose a method for reconstructing a more plausible 3D mesh model that accurately approximates the geometry of the final dense model only from sparse point clouds generated from SfM. This approximated mesh model can be generated using Delaunay triangulation for the sparse point clouds and triangle as well as tetrahedron filtering. The approximated model can be used to predict the geometric quality of the final dense model and for an optimization-based view planning. Some experimental results showed that our method is effective in predicting the quality of the final dense model and finding the potentially degraded regions. Moreover, it was confirmed that the average reconstruction errors of the dense model generated by the optimization-based view planning went below tens of millimeters and falls within an acceptable range for an infrastructure maintenance purpose.
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Kaneda, Akihiro, Tomomi Nakagawa, Kohei Tamura, Koji Noshita, and Hisashi Nakao. "A proposal of a new automated method for SfM/MVS 3D reconstruction through comparisons of 3D data by SfM/MVS and handheld laser scanners." PLOS ONE 17, no. 7 (July 20, 2022): e0270660. http://dx.doi.org/10.1371/journal.pone.0270660.
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SfM/MVS photogrammetry has received increasing attention due to its convenience, broadening the range of its applications into archaeology and anthropology. Because the accuracy of SfM/MVS depends on photography, one important issue is that incorrect or low-density point clouds are found in 3D models due to poor overlapping between images. A systematic way of taking photographs solve these problems, though it has not been well established and the accuracy has not been examined either, with some exceptions. The present study aims to (i) develop an efficient method for recording pottery using an automated turntable and (ii) assess its accuracy through a comparison with 3D models made by laser scanning. We recorded relatively simple pottery manufactured by prehistoric farmers in the Japanese archipelago using SfM/MVS photogrammetry and laser scanning. Further, by measuring the Hausdorff distance between 3D models made using these two methods, we show that their difference is negligibly small, suggesting that our method is sufficiently accurate to record pottery.
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Piermattei, L., L. Carturan, F. de Blasi, P. Tarolli, G. Dalla Fontana, A. Vettore, and N. Pfeifer. "Analysis of glacial and periglacial processes using structure from motion." Earth Surface Dynamics Discussions 3, no. 4 (November 30, 2015): 1345–98. http://dx.doi.org/10.5194/esurfd-3-1345-2015.
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Abstract. Close-range photo-based surface reconstruction from the ground is rapidly emerging as an alternative to lidar (light detection and ranging), which today represents the main survey technique in many fields of geoscience. The recent evolution of photogrammetry, incorporating computer vision algorithms such as Structure from Motion (SfM) and dense image matching such as Multi-View Stereo (MVS), allows the reconstruction of dense 3-D point clouds for the photographed object from a sequence of overlapping images taken with a digital consumer camera. The objective of our work was to test the accuracy of the ground-based SfM-MVS approach in calculating the geodetic mass balance of a 2.1 km2 glacier in the Ortles-Cevedale Group, Eastern Italian Alps. In addition, we investigated the feasibility of using the image-based approach for the detection of the surface displacement rate of a neighbouring active rock glacier. Airborne laser scanning (ALS) data were used as benchmarks to estimate the accuracy of the photogrammetric DTMs and the reliability of the method in this specific application. The glacial and periglacial analyses were performed using both range and image-based surveying techniques, and the results were then compared. The results were encouraging because the SfM-MVS approach enables the reconstruction of high-quality DTMs which provided estimates of glacial and periglacial processes similar to those achievable by ALS. Different resolutions and accuracies were obtained for the glacier and the rock glacier, given the different survey geometries, surface characteristics and areal extents. The analysis of the SfM-MVS DTM quality allowed us to highlight the limitations of the adopted expeditious method in the studied alpine terrain and the potential of this method in the multitemporal study of glacial and periglacial areas.
Dissertations / Theses on the topic "SfM-MVS"
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Gråd, Martin. "Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148452.
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Image-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of scenes. However, a problem that this pipeline suffers from is that it often falters when it comes to texture-less surfaces and areas, such as those found in man-made environments. Building facades, roads and walls often lack detail and easily trackable feature points, making this approach less than ideal for such scenes. To remedy this weakness, this thesis investigates an expanded approach, incorporating line segment detection and line cloud generation into the already existing point cloud-based pipeline. Texture-less objects such as building facades, windows and roofs are well-suited for line segment detection, and line clouds are fitting for encoding 3D positional data in scenes consisting mostly of objects featuring many straight lines. A number of approaches have been explored in order to determine the usefulness of line clouds in this context, each of them addressing different aspects of the reconstruction procedure.
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Berggrén, Rasmus. "In pursuit of consumer-accessible augmented virtuality." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209548.
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This project is an examination of the possibility of using existing software to develop Virtual Reality (VR) software that includes key aspects of objects in a user’s surroundings into a virtual environment, producing Augmented Virtuality (AV). A defining limitation is the requirement that the software be consumer-accessible, meaning it needs run on a common smartphone with no additional equipment. Two related AV concepts were considered: shape reconstruction and positional tracking. Two categories of techniques were considered for taking the measurements of reality necessary to achieve those AV concepts using only a monocular RGB camera as sensor: monocular visual SLAM (mvSLAM) and Structure from Motion (SfM). Two lists of requirements were constructed, formalising the notions of AV and consumer-accessibility. A search process was then conducted, where existing software packages were evaluated for their suitability to be included in a piece of software fulfilling all requirements. The evaluations of SfM systems were made in combination with Multi-View Stereo (MVS) systems – a necessary complement for achieving visible shape reconstruction using a system that outputs point clouds. After thoroughly evaluating a variety of software, it was concluded that consumer-accessible AV can not currently be achieved by combining existing packages, due to several issues. While future hardware performance increases and new software implementations would solve complexity and availability issues, some inaccuracy and usability issues are inherent to the limitation of using a monocular camera.Detta projekt är en undersökning av möjligheten att använda befintlig programvara till att utveckla Virtual Reality (VR)-programvara som infogar framstående aspekter av objekt från en användares omgivning in i en virtuell miljö och därmed skapar Augmented Virtuality (AV). En definierande begränsning är kravet på att programvaran skall vara konsumenttillgänglig, vilket innebär att den behöver kunna köras på en vanlig smartphone utan extra utrustning. Två besläktade AV-koncept beaktades: formrekonstruktion och positionsspårning. Två kategorier av tekniker togs i beaktande, vilka kunde användas för att göra de uppmätningar av verkligheten som var nödvändiga för att uppnå de tänkta AV-koncepten med hjälp av endast en monokulär RGB-kamera som sensor: monocular visual SLAM (mvSLAM) och Structure from Motion (SfM). Två listor med kriterier konstruerades, vilka formaliserade begreppen AV och konsumenttillgänglighet. En sökprocess utfördes sedan, där befintliga programvarupaket utvärderades för sin lämplighet att inkluderas i en programvara som uppfyllde alla kriterier. Utvärderingarna av SfM-system gjordes i kombination med Multi-View Stereo (MVS)-system – ett nödvändigt komplement för att uppnå synlig formrekonstruktion med ett system vars utdata är punktmoln. Efter att noggrant ha utvärderat en mängd programvara var slutsatsen att konsumenttillgänglig AV inte för närvarande kan uppnås genom att kombinera befintliga programvarupaket, på grund av ett antal olika problem. Medan framtida prestandaökningar hos maskinvara och nya programvarutillämpningar skulle lösa problem med komplexitet och tillgänglighet, är vissa problem med tillförlitlighet och användbarhet inneboende hos begränsningen till att använda en monokulär kamera.
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Gonçalves, Diogo Filipe Rodrigues. "Impact of image acquisition geometry and SfM-MVS processing parameters on the 3D reconstruction of coastal cliffs." Master's thesis, 2020. http://hdl.handle.net/10316/92198.
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Dissertação de Mestrado em Engenharia de Informação Geoespacial apresentada à Faculdade de Ciências e TecnologiaDevido ao perigo de quedas de rochas inerentes à erosão, as arribas costeiras despertam elevado interesse de monitorização. Torna-se importante efetuar uma reconstrução 3D de forma a identificar, medir e prevenir possíveis derrocadas. Com os elevados avanços tecnológicos no âmbito da fotogrametria e modelagem 3D, desenvolveram-se novas áreas de investigação, principalmente na utilização de drones para a aquisição e processamento de dados. Devido à sua complexidade, é necessário efetuar um planeamento prévio de forma a minimizar oclusões no modelo 3D (pontos não visíveis em pelo menos duas imagens).A presente dissertação tem como objetivo estudar exaustivamente um software comercial de processamento fotogramétrico (Agisoft Metashape) de forma a otimizar a reconstrução 3D de uma arriba costeira. Neste contexto, serão utilizados dois sistemas aéreos não tripulados para a aquisição de imagens, nomeadamente um asa fixa (Ebee Sensefly) e um multi rotor (DJI Phantom 4 Pro). Para efetuar a orientação do bloco de imagens, os principais parâmetros em teste serão o limite dos key points e tie points, os pesos dos pontos de controlo e tie points no ajustamento por feixe de perspetiva, a melhor localização espacial para os pontos de controlo. De seguida, com o erro de reprojeção dos tie points, podemos filtrar e remover os pontos que contribuem com erros mais elevados. Assim, a densificação dos tie points pode resultar numa nuvem densa mais precisa. Por fim, será feita a identificação automática de zonas sem dados resultantes de oclusões ou insuficiente sobreposição de imagens recorrendo a uma implementação de voxelização em MATLAB.Os resultados obtidos refletem uma utilização adequada dos limites dos key points e tie points não sendo vantajoso a não colocação de limite neste último (onde são escolhidos todos os tie points). A esmagadora maioria dos tie points (nuvem esparsa) são apenas visíveis em 3 ou menos imagens e apresentam um erro de reprojeção concentrado em torno de 0.1 pixels. Para os dois tipos de geometrias de aquisição, a densidade de pontos do Ebee Sensefly apresenta valores em torno de 200 pontos por m3 enquanto que no Phantom 4 Pro os valores estão situados em torno de 1300 pontos por m3. Em termos de zonas sem dados, para o asa fixa e com as resoluções espaciais de 1 m, 0.5 m e 0.25 m, foram identificados volumes de 50 m3, 56.75 m3 e 60.74 m3, respetivamente. Para o multirotor utilizando as mesmas combinações, foram identificados 0 m3, 1.75m3 e 1.94 m3 como sendo zonas sem dados.Para o Agisoft Metashape, os parâmetros de processamento não influenciam a precisão do modelo 3D sendo adequado a utilização dos parâmetros por defeito. Para as duas geometrias de aquisição, a nuvem de pontos resultante do multirotor tem uma densidade de pontos muito superior à do asa fixa (diferença de cerca de 1100 pontos por m3). Em relação à voxelização, os resultados são promissores pois são identificados grande parte dos voxels sem dados. Este método é sensível à resolução espacial do voxels dado que temos presente uma nuvem de pontos que por si só já contempla zonas sem dados. Por isso a deteção destas áreas depende da resolução espacial.Com estes indicadores, concluiu-se que a geometria de aquisição do Phantom 4 Pro é melhor para a reconstrução 3D de uma arriba em termos de precisão do modelo 3D, densidade de pontos e zonas sem dados.
Due to the danger of rockfall inherent to erosion, coastal cliffs arouse high interest in its monitoring. It is important to perform a 3D reconstruction in order to identify, measure and prevent collapse. With the high technological advances in the scope of photogrammetry and 3D modelling, new areas of research have been developed, mainly in the utilization of drones for the acquisition and processing of data. Due to its complexity, prior planning is necessary in order to minimize occlusions in the 3D model (points not visible in at least two images).This dissertation aims to study exhaustively a commercial photogrammetric processing software (Agisoft Metashape) in order to optimize a 3D reconstruction of a coastal cliff. In this context, two unmanned aerial systems will be used for the image acquisition, namely a fixed-wing (Ebee Sensefly) and a multirotor (DJI Phantom 4 Pro). To orient the images blocks, the main parameters under test will be the limit of the tie points and key points, the weights of the control points and tie points in the bundle block adjustment (BBA), and the best spatial location for the control points. Then, with the reprojection error of the tie points, points that contribute to higher errors can be filtered and removed. Thus, the densification of tie points can result in a more precise dense cloud. Finally, the automatic identification of areas without data resulting from occlusions or insufficient overlapping of images will be made using a voxelization implementation in MATLAB.The results reflect an appropriate use of the limits of the key points and tie points and it is not advantageous not to place a limit on the latter (where all tie points are chosen). The overwhelming majority of tie points (sparse cloud) are only visible in 3 or less images and have a reprojection error concentrated around 0.1 pixels. In the two types of acquisition geometry, the point cloud density of the Ebee Sensefly presents values around 200 points per m3 whereas in Phantom 4 Pro the values are aroumd 1300 points per m3. In terms of zones without data, for the fixed wing, with spatial resolutions of 1 m, 0.5 m and 0.25 m, volumes of 50 m3, 56.75 m3 and 60.74 m3 were identified, respectively. For the multirotor using the same combinations, 0 m3, 1.75 m3 and 1.94 m3 are identified as zones without data.For Agisoft Metashape, the processing parameters not influence the accuracy of 3D model being adequate the use of the default parameters. For both acquisition geometries, the point cloud from multirotor has a points density much higher than that of the fixed wing (difference around 1100 points per m3). Regarding voxelization, the results are promising because most voxels without data are identified. This method is sensitive to the spatial resolution of voxels, since we have point clouds that already includes zones without data (gap zones). Therefore, the detection of this gap zones depends on the spatial resolution.With these indicators, it was concluded that the acquisition of Phantom 4 Pro is better for the 3D reconstruction of a vertical cliff in terms of the accuracy of 3D model, points density and zones without data.
Universidade de Coimbra - UArribas - Unmanned Aerial Systems for monitoring coastal cliffs
Book chapters on the topic "SfM-MVS"
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Wu, Bo. "Photogrammetry for 3D Mapping in Urban Areas." In Urban Informatics, 401–13. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_23.
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AbstractPhotogrammetry is the technology for obtaining 3D geometric information from photographs or images. This chapter describes the fundamental knowledge and latest advances in photogrammetry for 3D mapping in urban areas. First, the key fundamental techniques in photogrammetry for deriving 3D information from imagery are presented. Then, the latest advances in photogrammetry for 3D mapping in urban areas, including structure-from-motion (SfM), multi-view stereo (MVS), and integrated 3D mapping from multiple-source data, are described and discussed. Examples of using photogrammetry for 3D mapping and modeling in urban applications are presented. Finally, concluding remarks and future outlooks are addressed.
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Urayama, Toshihiro, Tatsuro Chiba, Takumi Mochizuki, Syunsuke Miura, Shino Naruke, Hisashi Sasaki, Kenichi Arai, and Hideki Nonaka. "UAV-Based Structure from Motion – Multi-View Stereo (SfM-MVS): Mapping Cliff Face of Central Crater of Mt. Miharayama, Izu Oshima, Central Japan." In Unmanned Aerial Vehicle: Applications in Agriculture and Environment, 119–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27157-2_9.
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Koutsoudis, Anestis, George Ioannakis, Fotis Arnaoutoglou, Chairi Kiourt, and Christodoulos Chamzas. "3D Reconstruction Challenges Using Structure-From-Motion." In Applying Innovative Technologies in Heritage Science, 138–52. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2871-6.ch007.
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Numerous software solutions implementing the structure-from-motion/multi-view stereo (SFM/MVS) 3D reconstruction approach have been made available over the last two decades. Hence, enabling the production of high quality, in terms of geometry and colour information, 3D objects using solely unordered image sequences depicting a static scene or objects from arbitrary viewpoints. Nowadays, SFM/MVS-based 3D reconstruction approaches constitute a popular solution in a variety of applications within many research domains including cultural heritage. However, as with all 3D reconstruction approaches, SfM/MVS has its limitations and applicability challenges. In this chapter, the authors attempt to provide a set of guidelines that are based on the important outcomes of published works that propose solutions to overcome some of the challenges introduced by non-friendly to SfM/MVS scenes or objects.
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Estrela, Vania V., and A. M. Coelho. "State-of-the Art Motion Estimation in the Context of 3D TV." In Multimedia Networking and Coding, 148–73. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2660-7.ch006.
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Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter. Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying. Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV. SfM extraction can restore 3D shape information from a single camera data.
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Nakamura, Keita, Keita Baba, Takuma Yoshikawa, Toshihide Hanari, Kuniaki Kawabata, and Taku Matsumoto. "Verification for 3D Reconstruction of Stairs Using Artificial Image Data." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220272.
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It is generally difficult to measure complex shapes such as stairs with high accuracy for indoor environment scanning by the robot. Therefore, we consider the three-dimensional (3D) reconstruction of stairs using Structure from Motion (SfM) and Multi-View Stereo (MVS) which perform 3D reconstruction from images acquired by the robot vision. In this study, we verify whether it is possible to acquire a 3D reconstruction result of stairs by using images shot while ascending and descending the stairs as input to the reconstruction method. To calculate the accuracy of the reconstruction result, we use 3D computer graphics software to generate artificial image data to be applied to the 3D reconstruction. Experimental results show that 3D reconstruction results of the stairs are more accurate by applying both images shot when ascending and descending stairs to the 3D reconstruction methods.
Conference papers on the topic "SfM-MVS"
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Tamakawa, Hiroaki, and Hiroshi Yamamoto. "SfM/MVS-based Three-Dimensional Structural Diagnosis System for Damaged Houses." In 2022 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2022. http://dx.doi.org/10.1109/icce53296.2022.9730248.
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Berra, E. F., and M. V. Peppa. "Advances and Challenges of UAV SFM MVS Photogrammetry and Remote Sensing: Short Review." In 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS). IEEE, 2020. http://dx.doi.org/10.1109/lagirs48042.2020.9285975.
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Smets, Benoit, Caroline Michellier, Adalbert M. Syavulisembo, Gustave Munganea, Nicolas Doreye, and Francois Kervyn. "Very High-Resolution Imaging of the City of Goma (North Kivu, D.R. Congo) Using SFM-MVS Photogrammetry." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517412.
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Fleming, Zachariah Douglas, and Terry L. Pavlis. "STRUCTURE FROM MOTION-MULTIVIEW STEREO (SFM-MVS) PHOTOGRAMMETRY FOR CONSTRUCTING VIRTUAL OUTCROP MODELS AND CLASSROOM “FIELD” EXPERIENCES." In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-305533.
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Vlachos, Marinos, Dimitrios Skarlatos, Alessio Calantropio, and Filiberto Chiabrando. "An adhoc UW image colour correction method and the impact on image feature matching & SfM-MVS 3D reconstruction." In 2022 International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET). IEEE, 2022. http://dx.doi.org/10.1109/imet54801.2022.9929653.
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Paredes, Carlos, Rogelio De la Vega-Panizo, and Miguel Ángel Ropero. "APPLICATION OF IMPROVED ACCURACY SFM-MVS FOR PHOTOGRAMMETRIC RESTITUTION AND COMPARISON OF PRE- AND POST-ERUPTION ARCHIVAL AERIAL IMAGERY ON DECEPTION ISLAND (SOUTH SHETLAND, ANTARCTICA)." In 3rd Congress in Geomatics Engineering. Valencia: Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/cigeo2021.2021.12755.
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Despite today's extensive remote sensing imagery with all kinds of sensors, the use of old aerial imagery is still importantin the study of slowly evolving land processes to reconstruct past landscape forms. Numerous organisations sharephotogrammetric data in public repositories, offering opportunities to exploit them to identify historical, natural andanthropogenic topographic changes, which is particularly interesting if they are difficult to access areas, possibly affectedsince historic times by climate change and other geodynamic processes. This work proposes and applies a workflow basedon the SfM-MVS photogrammetric technique to 22 and 33 historical aerial photographs of the English FIDASE (1956/57)and Argentinean Navy (1968) flights, scanned at 1016dpi and 96dpi, black and white, of Deception Island (South Shetland,Antarctica). The photogrammetric processing controls the threshold values of the reconstruction uncertainties andprojection accuracy. The 3D point clouds obtained are geroreferenced with 37 ground control points (GCP) geographicallypositioned in a QuickBird2 satellite image over island areas not affected by volcanism. The quality of the DTM is controlledby comparison with the 1960 topographic map 1:25000 of the island, which allows the volumes of material emitted in thevolcanic eruption of 1967 to be evaluated. The results obtained improve considerably and extend the set of resultscompared to those obtained by classical contour line digitizing. The applied method, the DTM and orthomosaic of 1956and 1968 presented will allow us to evaluate, together with the analysis applied to later historical flights, English 1979 andChilean 1986, the recent changes produced by the recent volcanism, the local external geodynamics, the possible climaticdeterioration and the scope of current human activity from 1956 to the present day.