Добірка наукової літератури з теми "SfM-MVS"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "SfM-MVS".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "SfM-MVS"
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.
Повний текст джерелаBerra, 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.
Повний текст джерелаKalacska, 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.
Повний текст джерелаTavani, 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.
Повний текст джерелаWarfield, 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.
Повний текст джерелаTavani, 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.
Повний текст джерелаPiermattei, 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.
Повний текст джерелаMoritani, 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.
Повний текст джерелаKaneda, 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.
Повний текст джерелаPiermattei, 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.
Повний текст джерелаДисертації з теми "SfM-MVS"
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.
Повний текст джерелаBerggrén, 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.
Повний текст джерелаDetta 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.
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.
Повний текст джерелаDevido 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
Частини книг з теми "SfM-MVS"
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.
Повний текст джерелаUrayama, 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.
Повний текст джерелаKoutsoudis, 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.
Повний текст джерелаEstrela, 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.
Повний текст джерелаNakamura, 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.
Повний текст джерелаТези доповідей конференцій з теми "SfM-MVS"
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.
Повний текст джерелаBerra, 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.
Повний текст джерелаSmets, 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.
Повний текст джерелаFleming, 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.
Повний текст джерелаVlachos, 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.
Повний текст джерелаParedes, 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.
Повний текст джерела