Academic literature on the topic 'Multimedia photogrammetrie'
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Journal articles on the topic "Multimedia photogrammetrie"
Maas, H. G. "A MODULAR GEOMETRIC MODEL FOR UNDERWATER PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 139–41. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-139-2015.
Full textTucci, G., E. I. Parisi, V. Bonora, L. Fiorini, A. Conti, M. Corongiu, J. P. Ortiz-Sanz, M. Gil-Docampo, T. Rego-Sanmartín, and M. Arza-García. "IMPROVING QUALITY AND INCLUSIVE EDUCATION ON PHOTOGRAMMETRY: NEW TEACHING APPROACHES AND MULTIMEDIA SUPPORTING MATERIALS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (August 24, 2020): 257–64. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-257-2020.
Full textWaters, R. S. "Photogrammetry for GIS: The Multimedia Revolution." Photogrammetric Record 15, no. 87 (April 1996): 353–64. http://dx.doi.org/10.1111/0031-868x.00039.
Full textMaas, Hans-Gerd. "On the Accuracy Potential in Underwater/Multimedia Photogrammetry." Sensors 15, no. 8 (July 24, 2015): 18140–52. http://dx.doi.org/10.3390/s150818140.
Full textKahmen, O., R. Rofallski, N. Conen, and T. Luhmann. "ON SCALE DEFINITION WITHIN CALIBRATION OF MULTI-CAMERA SYSTEMS IN MULTIMEDIA PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W10 (April 17, 2019): 93–100. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w10-93-2019.
Full textCapra, A., M. Dubbini, E. Bertacchini, C. Castagnetti, and F. Mancini. "3D RECONSTRUCTION OF AN UNDERWATER ARCHAELOGICAL SITE: COMPARISON BETWEEN LOW COST CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 67–72. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-67-2015.
Full textKahmen, Oliver, Robin Rofallski, and Thomas Luhmann. "Impact of Stereo Camera Calibration to Object Accuracy in Multimedia Photogrammetry." Remote Sensing 12, no. 12 (June 26, 2020): 2057. http://dx.doi.org/10.3390/rs12122057.
Full textNocerino, E., F. Menna, and A. Gruen. "BUNDLE ADJUSTMENT WITH POLYNOMIAL POINT-TO-CAMERA DISTANCE DEPENDENT CORRECTIONS FOR UNDERWATER PHOTOGRAMMETRY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (June 28, 2021): 673–79. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-673-2021.
Full textLerma García, José Luis, Miriam Cabrelles López, Santiago Navarro Tarín, and Sergio Galcerá Ustero. "Documentación 3D y visualización multimedia de la Cova del Parpalló (Gandia)." Virtual Archaeology Review 1, no. 2 (May 25, 2010): 123. http://dx.doi.org/10.4995/var.2010.4701.
Full textGuarnieri, A., F. Fissore, A. Masiero, and A. Vettore. "FROM TLS SURVEY TO 3D SOLID MODELING FOR DOCUMENTATION OF BUILT HERITAGE: THE CASE STUDY OF PORTA SAVONAROLA IN PADUA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (August 18, 2017): 303–8. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-303-2017.
Full textDissertations / Theses on the topic "Multimedia photogrammetrie"
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1231402875520-12137.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s)
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23711.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s).
Book chapters on the topic "Multimedia photogrammetrie"
Hoogeboom, Bart, Ivo Alberink, and Derk Vrijdag. "Photogrammetry in Digital Forensics." In Handbook of Digital Forensics of Multimedia Data and Devices, 183–218. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch5.
Full textForlani, G., and E. S. Malinverni. "Dem and Orthophoto Generation in Close Range Photogrammetry." In Data Acquisition and Analysis for Multimedia GIS, 207–21. Vienna: Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2684-4_17.
Full textBoccardo, P., A. Lingua, and F. Rinaudo. "Geometric and Radiometric Calibration for Low Cost Flatbed Scanners for Photogrammetric Applications." In Data Acquisition and Analysis for Multimedia GIS, 151–60. Vienna: Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2684-4_13.
Full textVoulodimos, Athanasios, Eftychios Protopapadakis, Nikolaos Doulamis, and Anastasios Doulamis. "Image Clustering and Video Summarization for Efficient 3D Modelling and Reconstruction." In Recent Advances in 3D Imaging, Modeling, and Reconstruction, 193–214. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-5294-9.ch009.
Full textConference papers on the topic "Multimedia photogrammetrie"
Esmaeili, Human, and Harold Thwaites. "Virtual photogrammetry." In 2016 22nd International Conference on Virtual System & Multimedia (VSMM). IEEE, 2016. http://dx.doi.org/10.1109/vsmm.2016.7863153.
Full textMajdik, Andras L., Laszlo Tizedes, Mate Bartus, and Tamas Sziranyi. "Photogrammetric 3D reconstruction of the old slaughterhouse in budapest." In 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2016. http://dx.doi.org/10.1109/iwcim.2016.7801192.
Full textUrquhart, C. W., D. S. Green, and E. D. Borland. "4D capture using passive stereo photogrammetry." In 3rd European Conference on Visual Media Production (CVMP 2006). Part of the 2nd Multimedia Conference 2006. IEE, 2006. http://dx.doi.org/10.1049/cp:20061962.
Full textIhlow, Alexander, Daniel Arndt, Felix Topf, Christoph Rothaug, Thomas Wittenberg, and Albert Heuberger. "Photogrammetric satellite service prediction - Correlation of RF measurements and image data." In 2011 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB). IEEE, 2011. http://dx.doi.org/10.1109/bmsb.2011.5954884.
Full textRusso, Paolo, Alessio Furini, and Emanuela Gualdi. "Low cost photogrammetry for morphometric human detection in video surveillance." In 2012 18th International Conference on Virtual Systems and Multimedia (VSMM). IEEE, 2012. http://dx.doi.org/10.1109/vsmm.2012.6365987.
Full textDrap, Pierre, Djamal Merad, Jean-Marc Boi, Julien Seinturier, Daniela Peloso, Christophe Reidinger, Guido Vannini, Michele Nucciotti, and Elisa Pruno. "Photogrammetry for medieval archaeology: A way to represent and analyse stratigraphy." In 2012 18th International Conference on Virtual Systems and Multimedia (VSMM). IEEE, 2012. http://dx.doi.org/10.1109/vsmm.2012.6365920.
Full textQiyu Yang, Guochuan Shi, Baolin Xie, and Shenghao Zhang. "Computer vision used in photogrammetry to build digital elevation model." In IET International Conference on Wireless Mobile and Multimedia Networks Proceedings (ICWMMN 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20061597.
Full textBelhi, Abdelhak, and Abdelaziz Bouras. "AI-powered Motion Interaction for 3D Cultural Heritage." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0240.
Full textJia, Lichao, Lili Yang, Huijing Yuan, Yongxia Jia, Yiyang Wang, and Yang Feng. "A Hybrid Approach for 3D Full-Field Measurement on a Closed Slinger Combustor by Hydraulic Simulations." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63773.
Full textSalonia, P., S. Scolastico, A. Marcolongo, and T. Leti Messina. "Survey and 3D Reconstruction of the St. Orso Capitals in Aosta, through Three-Focal Photogrammetry." In 2009 15th International Conference on Virtual Systems and Multimedia (VSMM). IEEE, 2009. http://dx.doi.org/10.1109/vsmm.2009.11.
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