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Статті в журналах з теми "3D data analysi"
Browning, Paul. "MACSPIN: 3D DATA ANALYSIS SOFTWARE." Terra Nova 4, no. 6 (November 1992): 701–4. http://dx.doi.org/10.1111/j.1365-3121.1992.tb00620.x.
Повний текст джерелаWu, Youping, and Zhihui Zhou. "Intelligent City 3D Modeling Model Based on Multisource Data Point Cloud Algorithm." Journal of Function Spaces 2022 (July 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6135829.
Повний текст джерелаWang, Cuixia. "Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis." Journal of Function Spaces 2022 (August 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/7002983.
Повний текст джерелаDeighton, M., and M. Petrou. "Data mining for large scale 3D seismic data analysis." Machine Vision and Applications 20, no. 1 (November 15, 2007): 11–22. http://dx.doi.org/10.1007/s00138-007-0101-3.
Повний текст джерелаLi, W., S. Zlatanova, and B. Gorte. "VOXEL DATA MANAGEMENT AND ANALYSIS IN POSTGRESQL/POSTGIS UNDER DIFFERENT DATA LAYOUTS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences VI-3/W1-2020 (November 17, 2020): 35–42. http://dx.doi.org/10.5194/isprs-annals-vi-3-w1-2020-35-2020.
Повний текст джерелаGautier, J., S. Christophe, and M. Brédif. "VISUALIZING 3D CLIMATE DATA IN URBAN 3D MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 781–89. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-781-2020.
Повний текст джерелаBarbu, Viorel, and Michael Röckner. "Global solutions to random 3D vorticity equations for small initial data." Journal of Differential Equations 263, no. 9 (November 2017): 5395–411. http://dx.doi.org/10.1016/j.jde.2017.06.020.
Повний текст джерелаPapatheodorou, Theodore, John Giannatsis, and Vassilis Dedoussis. "Evaluating 3D Printers Using Data Envelopment Analysis." Applied Sciences 11, no. 9 (May 5, 2021): 4209. http://dx.doi.org/10.3390/app11094209.
Повний текст джерелаMery, Francisco, Carolina Méndez-Orellana, Javier Torres, Francisco Aranda, Iván Caro, José Pesenti, Ricardo Rojas, Pablo Villanueva, and Isabelle Germano. "3D simulation of aneurysm clipping: Data analysis." Data in Brief 37 (August 2021): 107258. http://dx.doi.org/10.1016/j.dib.2021.107258.
Повний текст джерелаPlyusnin, Ilya, Alistair R. Evans, Aleksis Karme, Aristides Gionis, and Jukka Jernvall. "Automated 3D Phenotype Analysis Using Data Mining." PLoS ONE 3, no. 3 (March 5, 2008): e1742. http://dx.doi.org/10.1371/journal.pone.0001742.
Повний текст джерелаДисертації з теми "3D data analysi"
Deighton, M. J. "3D texture analysis in seismic data." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/842764/.
Повний текст джерелаMadrigali, Andrea. "Analysis of Local Search Methods for 3D Data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Знайти повний текст джерелаOrriols, Majoral Xavier. "Generative Models for Video Analysis and 3D Range Data Applications." Doctoral thesis, Universitat Autònoma de Barcelona, 2004. http://hdl.handle.net/10803/3037.
Повний текст джерелаLa elección de una representación adecuada para los datos toma una relevancia significativa cuando se tratan invariancias, dado que estas siempre implican una reducción del los grados de libertad del sistema, i.e., el número necesario de coordenadas para la representación es menor que el empleado en la captura de datos. De este modo, la descomposición en unidades básicas y el cambio de representación dan lugar a que un problema complejo se pueda transformar en uno de manejable. Esta simplificación del problema de la estimación debe depender del mecanismo propio de combinación de estas primitivas con el fin de obtener una descripción óptima del modelo complejo global. Esta tesis muestra como los Modelos de Variables Latentes reducen dimensionalidad, que teniendo en cuenta las simetrías internas del problema, ofrecen una manera de tratar con datos parciales y dan lugar a la posibilidad de predicciones de nuevas observaciones.
Las líneas de investigación de esta tesis están dirigidas al manejo de datos provinentes de múltiples fuentes. Concretamente, esta tesis presenta un conjunto de nuevos algoritmos aplicados a dos áreas diferentes dentro de la Visión por Computador: i) video análisis y sumarización y ii) datos range 3D. Ambas áreas se han enfocado a través del marco de los Modelos Generativos, donde se han empleado protocolos similares para representar datos.
The majority of problems in Computer Vision do not contain a direct relation between the stimuli provided by a general purpose sensor and its corresponding perceptual category. A complex learning task must be involved in order to provide such a connection. In fact, the basic forms of energy, and their possible combinations are a reduced number compared to the infinite possible perceptual categories corresponding to objects, actions, relations among objects... Two main factors determine the level of difficulty of a specific problem: i) The different levels of information that are employed and ii) The complexity of the model that is intended to explain the observations.
The choice of an appropriate representation for the data takes a significant relevance when it comes to deal with invariances, since these usually imply that the number of intrinsic degrees of
freedom in the data distribution is lower than the coordinates used to represent it. Therefore, the decomposition into basic units (model parameters) and the change of representation, make that a complex problem can be transformed into a manageable one. This simplification of the estimation problem has to rely on a proper mechanism of combination of those primitives in order to give an optimal description of the global complex model. This thesis shows how Latent Variable Models reduce dimensionality, taking into account the internal symmetries of a problem, provide a manner of dealing with missing data and make possible predicting new observations.
The lines of research of this thesis are directed to the management of multiple data sources. More specifically, this thesis presents a set of new algorithms applied to two different areas in Computer Vision: i) video analysis and summarization, and ii) 3D range data. Both areas have been approached through the Generative Models framework, where similar protocols for representing data have been employed.
Qian, Zhongping. "Analysis of seismic anisotropy in 3D multi-component seismic data." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/3515.
Повний текст джерелаLaha, Bireswar. "Immersive Virtual Reality and 3D Interaction for Volume Data Analysis." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/51817.
Повний текст джерелаPh. D.
Patel, Ankur. "3D morphable models : data pre-processing, statistical analysis and fitting." Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/1576/.
Повний текст джерелаPolat, Songül. "Combined use of 3D and hyperspectral data for environmental applications." Thesis, Lyon, 2021. http://www.theses.fr/2021LYSES049.
Повний текст джерелаEver-increasing demands for solutions that describe our environment and the resources it contains, require technologies that support efficient and comprehensive description, leading to a better content-understanding. Optical technologies, the combination of these technologies and effective processing are crucial in this context. The focus of this thesis lies on 3D scanning and hyperspectral technologies. Rapid developments in hyperspectral imaging are opening up new possibilities for better understanding the physical aspects of materials and scenes in a wide range of applications due to their high spatial and spectral resolutions, while 3D technologies help to understand scenes in a more detailed way by using geometrical, topological and depth information. The investigations of this thesis aim at the combined use of 3D and hyperspectral data and demonstrates the potential and added value of a combined approach by means of different applications. Special focus is given to the identification and extraction of features in both domains and the use of these features to detect objects of interest. More specifically, we propose different approaches to combine 3D and hyperspectral data depending on the HSI/3D technologies used and show how each sensor could compensate the weaknesses of the other. Furthermore, a new shape and rule-based method for the analysis of spectral signatures was developed and presented. The strengths and weaknesses compared to existing approach-es are discussed and the outperformance compared to SVM methods are demonstrated on the basis of practical findings from the field of cultural heritage and waste management.Additionally, a newly developed analytical method based on 3D and hyperspectral characteristics is presented. The evaluation of this methodology is based on a practical exam-ple from the field of WEEE and focuses on the separation of materials like plastics, PCBs and electronic components on PCBs. The results obtained confirms that an improvement of classification results could be achieved compared to previously proposed methods.The claim of the individual methods and processes developed in this thesis is general validity and simple transferability to any field of application
Landström, Anders. "Adaptive tensor-based morphological filtering and analysis of 3D profile data." Licentiate thesis, Luleå tekniska universitet, Signaler och system, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26510.
Повний текст джерелаGodkänd; 2012; 20121017 (andlan); LICENTIATSEMINARIUM Ämne: Signalbehandling/Signal Processing Examinator: Universitetslektor Matthew Thurley, Institutionen för system- och rymdteknik, Luleå tekniska universitet Diskutant: Associate Professor Cris Luengo, Centre for Image Analysis, Uppsala Tid: Onsdag den 21 november 2012 kl 12.30 Plats: A1545, Luleå tekniska universitet
Cheewinsiriwat, Pannee. "Development of a 3D geospatial data representation and spatial analysis system." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.514467.
Повний текст джерелаVick, Louise Mary. "Evaluation of field data and 3D modelling for rockfall hazard analysis." Thesis, University of Canterbury. Geological Sciences, 2015. http://hdl.handle.net/10092/10845.
Повний текст джерелаКниги з теми "3D data analysi"
Introduction to 3D data: Modeling with arcGIS 3D analyst and Google earth. Hoboken, N.J: John Wiley, 2009.
Знайти повний текст джерелаBelytschko, Ted. WHAMS-3D: An explicit 3D finite element program. Willow Springs, Ill: KBS2, 1988.
Знайти повний текст джерелаData in three dimensions: A guide to ArcGIS 3D analyst. Clifton Park, NY: Thomson/Delmar Learning, 2004.
Знайти повний текст джерела1936-, Huang Thomas S., ed. 3D face processing: Modeling, analysis, and synthesis. Boston: Kluwer Academic Publishers, 2004.
Знайти повний текст джерелаDaniel, Cremers, and SpringerLink (Online service), eds. Stereo Scene Flow for 3D Motion Analysis. London: Springer-Verlag London Limited, 2011.
Знайти повний текст джерелаS, Pirzadeh, and Institute for Computer Applications in Science and Engineering., eds. Large-scale parallel unstructured mesh computations for 3D high-lift analysis. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Знайти повний текст джерелаS, Pirzadeh, and Institute for Computer Applications in Science and Engineering., eds. Large-scale parallel unstructured mesh computations for 3D high-lift analysis. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Знайти повний текст джерелаMavriplis, Dimitri. Large-scale parallel unstructured mesh computations for 3D high-lift analysis. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Знайти повний текст джерелаS, Pirzadeh, and Institute for Computer Applications in Science and Engineering., eds. Large-scale parallel unstructured mesh computations for 3D high-lift analysis. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Знайти повний текст джерелаS, Pirzadeh, and Institute for Computer Applications in Science and Engineering., eds. Large-scale parallel unstructured mesh computations for 3D high-lift analysis. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.
Знайти повний текст джерелаЧастини книг з теми "3D data analysi"
Thió-Henestrosa, Santiago, and Josep Daunis-i-Estadella. "Exploratory Analysis Using CoDaPack 3D." In Compositional Data Analysis, 327–40. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119976462.ch24.
Повний текст джерелаCordelières, Fabrice P., and Chong Zhang. "3D Quantitative Colocalisation Analysis." In Bioimage Data Analysis Workflows, 33–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22386-1_3.
Повний текст джерелаRuizhongtai Qi, Charles. "Deep Learning on 3D Data." In 3D Imaging, Analysis and Applications, 513–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44070-1_11.
Повний текст джерелаSmith, William A. P. "3D Data Representation, Storage and Processing." In 3D Imaging, Analysis and Applications, 265–316. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44070-1_6.
Повний текст джерелаSmith, William A. P. "Representing, Storing and Visualizing 3D Data." In 3D Imaging, Analysis and Applications, 139–82. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4063-4_4.
Повний текст джерелаRotger, D., C. Cañero, P. Radeva, J. Mauri, E. Fernandez, A. Tovar, and V. Valle. "Advanced Visualization of 3D data of Intravascular Ultrasound images." In Medical Data Analysis, 245–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45497-7_37.
Повний текст джерелаSchiavi, Emanuele, C. Hernández, and Juan A. Hernández. "Fully 3D Wavelets MRI Compression." In Biological and Medical Data Analysis, 9–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30547-7_2.
Повний текст джерелаAnderl, Reiner, and Peter Binde. "Management of Analysis and Simulation Data." In Simulations with NX / Simcenter 3D, 353–72. München: Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569907139.007.
Повний текст джерелаChoi, Soo-Mi, Don-Su Lee, Seong-Joon Yoo, and Myoung-Hee Kim. "Interactive Visualization of Diagnostic Data from Cardiac Images Using 3D Glyphs." In Medical Data Analysis, 83–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39619-2_11.
Повний текст джерелаCapozza, M., G. D. Iannetti, J. J. Marx, G. Cruccu, and N. Accornero. "An Artificial Neural Network for 3D Localization of Brainstem Functional Lesions." In Medical Data Analysis, 186–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36104-9_21.
Повний текст джерелаТези доповідей конференцій з теми "3D data analysi"
Wang, Qingguo. "A 3D data model for fast visualization." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837793.
Повний текст джерелаYang, Nai, Qingsheng Guo, and Dayong Shen. "Automatic modeling of cliff symbol in 3D topographic map." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837760.
Повний текст джерелаZhang, Xia, and Qing Zhu. "Scheme evaluation of urban design using 3D visual analysis." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838542.
Повний текст джерелаLi, Linhai, Lina Qu, Shen Ying, Dongdong Liang, and Zhenlong Hu. "Use of Google SketchUp to implement 3D spatio-temporal visualization." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837572.
Повний текст джерелаWang, Xianghong, Jiping Liu, Yong Wang, and Junfang Bi. "Visualization of spatial-temporal data based on 3D virtual scene." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838626.
Повний текст джерелаMochocki, B., K. Lahiri, and S. Cadambi. "Power Analysis of Mobile 3D Graphics." In 2006 Design, Automation and Test in Europe. IEEE, 2006. http://dx.doi.org/10.1109/date.2006.243859.
Повний текст джерелаLiu, Yining, Lifan Fei, and Qiuping Lan. "A new way of modeling 3D entities based on raster technique." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838060.
Повний текст джерелаDing, Jing, and Wenping Jiang. "Research on scene organization of process simulation in port 3D GIS." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.839411.
Повний текст джерелаZhao, Weidong, Guo'an Tang, Bin Ji, and Lei Ma. "Research on optimal DEM cell size for 3D visualization of loess terraces." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837469.
Повний текст джерелаXu, Hanwei, Rami Badawi, Xiaohu Fan, Jiayong Ren, and Zhiqiang Zhang. "Research for 3D visualization of Digital City based on SketchUp and ArcGIS." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838558.
Повний текст джерелаЗвіти організацій з теми "3D data analysi"
Fenlon, Riley. Facial respirator shape analysis using 3D anthropometric data. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7460.
Повний текст джерелаBethel, E. Wes, Oliver Rubel, Gunther H. Weber, Bernd Hamann, and Hans Hagen. Visualization and Analysis of 3D Gene Expression Data. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/928239.
Повний текст джерелаWilliams, Michelle. Data Analysis Final Project: 3D printed rock analysis using Python. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1762647.
Повний текст джерелаGamey, T. J. 3D Geophysical Data Collection and Analysis for UXO Discrimination. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada438458.
Повний текст джерелаArthur, J. D., J. Cichon, A. Baker, J. Marquez, A. Rudin, and A. Wood. Hydrogeologic mapping and aquifer vulnerability modeling in Florida: 2D and 3D data analysis and visualization. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/299490.
Повний текст джерелаTang, Shuaiqi, Shaocheng Xie, and Minghua Zhang. Description of the Three-Dimensional Large-Scale Forcing Data from the 3D Constrained Variational Analysis (VARANAL3D). Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1648153.
Повний текст джерелаTang, S., Shaocheng Xie, and Minghua Zhang. Description of the Three-Dimensional Large-Scale Forcing Data from the 3D Constrained Variational Analysis (VARANAL3D). Office of Scientific and Technical Information (OSTI), August 2020. http://dx.doi.org/10.2172/1808707.
Повний текст джерелаSchetselaar, E., D. White, O. Boulanger, J. Craven, G. Bellefleur, and S. Ansari. 3D regional scale modelling of the Flin Flon-Glennie Complex: preparatory data analysis and preliminary results, Manitoba and Saskatchewan. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330304.
Повний текст джерелаHabib, Ayman, Darcy M. Bullock, Yi-Chun Lin, and Raja Manish. Road Ditch Line Mapping with Mobile LiDAR. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317354.
Повний текст джерелаSlattery, Kevin T. Unsettled Aspects of the Digital Thread in Additive Manufacturing. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021026.
Повний текст джерела