Literatura académica sobre el tema "Scanner data"
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Artículos de revistas sobre el tema "Scanner data"
Bohner, Lauren, Daniel Habor, Klaus Radermacher, Stefan Wolfart y Juliana Marotti. "Scanning of a Dental Implant with a High-Frequency Ultrasound Scanner: A Pilot Study". Applied Sciences 11, n.º 12 (14 de junio de 2021): 5494. http://dx.doi.org/10.3390/app11125494.
Texto completoRuzgienė, Birutė, Renata Bagdžiūnaitė y Vilma Ruginytė. "SCANNING AERIAL PHOTOS USING A NON-PROFESSIONAL SCANNER". Geodesy and Cartography 38, n.º 3 (1 de octubre de 2012): 118–21. http://dx.doi.org/10.3846/20296991.2012.728901.
Texto completoRabah, Chaima Ben, Gouenou Coatrieux y Riadh Abdelfattah. "Boosting up Source Scanner Identification Using Wavelets and Convolutional Neural Networks". Traitement du Signal 37, n.º 6 (31 de diciembre de 2020): 881–88. http://dx.doi.org/10.18280/ts.370601.
Texto completoNestle, U., S. Kremp, D. Hellwig, A. Grgic, H. G. Buchholz, W. Mischke, C. Gromoll et al. "Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer". Nuklearmedizin 51, n.º 03 (2012): 101–10. http://dx.doi.org/10.3413/nukmed-0452-11-12.
Texto completoStangeland, Marcus, Trond Engjom, Martin Mezl, Radovan Jirik, Odd Gilja, Georg Dimcevski y Kim Nylund. "Interobserver Variation of the Bolus-and-Burst Method for Pancreatic Perfusion with Dynamic – Contrast-Enhanced Ultrasound". Ultrasound International Open 03, n.º 03 (junio de 2017): E99—E106. http://dx.doi.org/10.1055/s-0043-110475.
Texto completoProvenzale, James M., Brian A. Taylor, Elisabeth A. Wilde, Michael Boss y Walter Schneider. "Analysis of variability of fractional anisotropy values at 3T using a novel diffusion tensor imaging phantom". Neuroradiology Journal 31, n.º 6 (24 de julio de 2018): 581–86. http://dx.doi.org/10.1177/1971400918789383.
Texto completoXu, Ji Hong, Xiao Lin Dai y Shu Ping Gao. "A Study on Data Acquisition from Sections of Virtual Coat Profile". Advanced Materials Research 230-232 (mayo de 2011): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.1204.
Texto completoChen, Kai, Kai Zhan, Xiaocong Yang y Da Zhang. "Accuracy Improvement Method of a 3D Laser Scanner Based on the D-H Model". Shock and Vibration 2021 (25 de mayo de 2021): 1–9. http://dx.doi.org/10.1155/2021/9965904.
Texto completoElbrecht, Pirjo, Jaak Henno y Knut Joosep Palm. "Body Measurements Extraction from 3D Scanner Data". Applied Mechanics and Materials 339 (julio de 2013): 372–77. http://dx.doi.org/10.4028/www.scientific.net/amm.339.372.
Texto completoLiebold, F. y H. G. Maas. "Integrated Georeferencing of LiDAR and Camera Data Acquired from a Moving Platform". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3 (11 de agosto de 2014): 191–96. http://dx.doi.org/10.5194/isprsarchives-xl-3-191-2014.
Texto completoTesis sobre el tema "Scanner data"
Bae, Kwang-Ho. "Automated registration of unorganised point clouds from terrestrial laser scanners". Curtin University of Technology, Department of Spatial Sciences, 2006. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=16596.
Texto completoIn addition, the rotational convergence region of the GP-ICPR on the order of 10°, which is much larger than the ICP or its variants, provides a window of opportunity to utilise this automated registration method in practical applications such as terrestrial surveying and deformation monitoring.
Foekens, Eijte Willem. "Scanner data based marketing modelling : empirical applications /". Capelle a/d IJssel : Labyrint Publ, 1995. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=007021048&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Texto completoTrost, Daniel Roland. "Organic produce demand estimation utilizing retail scanner data". Thesis, Montana State University, 1999. http://etd.lib.montana.edu/etd/1999/trost/TrostD1999.pdf.
Texto completoTóvári, Dániel. "Segmentation Based Classification of Airborne Laser Scanner Data". [S.l. : s.n.], 2006. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000006285.
Texto completoPreuksakarn, Chakkrit. "Reconstructing plant architecture from 3D laser scanner data". Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20116/document.
Texto completoIn the last decade, very realistic rendering of plant architectures have been produced in computer graphics applications. However, in the context of biology and agronomy, acquisition of accurate models of real plants is still a tedious task and a major bottleneck for the construction of quantitative models of plant development. Recently, 3D laser scanners made it possible to acquire 3D images on which each pixel has an associate depth corresponding to the distance between the scanner and the pinpointed surface of the object. Standard geometrical reconstructions fail on plants structures as they usually contain a complex set of discontinuous or branching surfaces distributed in space with varying orientations. In this thesis, we present a method for reconstructing virtual models of plants from laser scanning of real-world vegetation. Measuring plants with laser scanners produces data with different levels of precision. Points set are usually dense on the surface of the main branches, but only sparsely cover thin branches. The core of our method is to iteratively create the skeletal structure of the plant according to local density of point set. This is achieved thanks to a method that locally adapts to the levels of precision of the data by combining a contraction phase and a local point tracking algorithm. In addition, we present a quantitative evaluation procedure to compare our reconstructions against expertised structures of real plants. For this, we first explore the use of an edit distance between tree graphs. Alternatively, we formalize the comparison as an assignment problem to find the best matching between the two structures and quantify their differences
Töpel, Johanna. "Initial Analysis and Visualization of Waveform Laser Scanner Data". Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2864.
Texto completoConventional airborne laser scanner systems output the three-dimensional coordinates of the surface location hit by the laser pulse. Data storage capacity and processing speeds available today has made it possible to digitally sample and store the entire reflected waveform, instead of only extracting the coordinates. Research has shown that return waveforms can give even more detailed insights into the vertical structure of surface objects, surface slope, roughness and reflectivity than the conventional systems. One of the most important advantages with registering the waveforms is that it gives the user the possibility to himself define the way range is calculated in post-processing.
In this thesis different techniques have been tested to visualize a waveform data set in order to get a better understanding of the waveforms and how they can be used to improve methods for classification of ground objects.
A pulse detection algorithm, using the EM algorithm, has been implemented and tested. The algorithm output position and width of the echo pulses. One of the results of this thesis is that echo pulses reflected by vegetation tend to be wider than those reflected by for example a road. Another result is that up till five echo pulses can be detected compared to two echo pulses that the conventional system detects.
Payette, Francois. "Applications of a sampling strategy for the ERBE scanner data". Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61784.
Texto completoHenning, Jason Gregory. "Modeling Forest Canopy Distribution from Ground-Based Laser Scanner Data". Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28431.
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Nalani, Hetti Arachchige. "Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-159872.
Texto completoUp-to-date 3D urban models are becoming increasingly important in various urban application areas, such as urban planning, virtual tourism, and navigation systems. Many of these applications often demand the modelling of 3D buildings, enriched with façade information, and also single trees among other urban objects. Nowadays, Mobile Laser Scanning (MLS) technique is being progressively used to capture objects in urban settings, thus becoming a leading data source for the modelling of these two urban objects. The 3D point clouds of urban scenes consist of large amounts of data representing numerous objects with significant size variability, complex and incomplete structures, and holes (noise and data gaps) or variable point densities. For this reason, novel strategies on processing of mobile laser scanning point clouds, in terms of the extraction and modelling of salient façade structures and trees, are of vital importance. The present study proposes two new methods for the reconstruction of building façades and the extraction of trees from MLS point clouds. The first method aims at the reconstruction of building façades with explicit semantic information such as windows, doors and balconies. It runs automatically during all processing steps. For this purpose, several algorithms are introduced based on the general knowledge on the geometric shape and structural arrangement of façade features. The initial classification has been performed using a local height histogram analysis together with a planar growing method, which allows for classifying points as object and ground points. The point cloud that has been labelled as object points is segmented into planar surfaces that could be regarded as the main entity in the feature recognition process. Knowledge of the building structure is used to define rules and constraints, which provide essential guidance for recognizing façade features and reconstructing their geometric models. In order to recognise features on a wall such as windows and doors, a hole-based method is implemented. Some holes that resulted from occlusion could subsequently be eliminated by means of a new rule-based algorithm. Boundary segments of a feature are connected into a polygon representing the geometric model by introducing a primitive shape based method, in which topological relations are analysed taking into account the prior knowledge about the primitive shapes. Possible outlines are determined from the edge points detected from the angle-based method. The repetitive patterns and similarities are exploited to rectify geometrical and topological inaccuracies of the reconstructed models. Apart from developing the 3D façade model reconstruction scheme, the research focuses on individual tree segmentation and derivation of attributes of urban trees. The second method aims at extracting individual trees from the remaining point clouds. Knowledge about trees specially pertaining to urban areas is used in the process of tree extraction. An innovative shape based approach is developed to transfer this knowledge to machine language. The usage of principal direction for identifying stems is introduced, which consists of searching point segments representing a tree stem. The output of the algorithm is, segmented individual trees that can be used to derive accurate information about the size and locations of each individual tree. The reliability of the two methods is verified against three different data sets obtained from different laser scanner systems. The results of both methods are quantitatively evaluated using a set of measures pertaining to the quality of the façade reconstruction and tree extraction. The performance of the developed algorithms referring to the façade reconstruction, tree stem detection and the delineation of individual tree crowns as well as their limitations are discussed. The results show that MLS point clouds are suited to document urban objects rich in details. From the obtained results, accurate measurements of the most important attributes relevant to the both objects (building façades and trees), such as window height and width, area, stem diameter, tree height, and crown area are obtained acceptably. The entire approach is suitable for the reconstruction of building façades and for the extracting trees correctly from other various urban objects, especially pole-like objects. Therefore, both methods are feasible to cope with data of heterogeneous quality. In addition, they provide flexible frameworks, from which many extensions can be envisioned
Natter, Martin y Markus Feurstein. "Correcting for CBC model bias. A hybrid scanner data - conjoint model". SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/880/1/document.pdf.
Texto completoSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Libros sobre el tema "Scanner data"
missing], [name. Scanner data and price indexes. Chicago, IL: University of Chicago Press, 2002.
Buscar texto completoMcCann, John M. y John P. Gallagher. Expert Systems for Scanner Data Environments. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3923-6.
Texto completoJames, Cavuoto, ed. The color scanner book. Torrance, California: Micro Pub. Press, 1995.
Buscar texto completoCampbell, Jeffrey R. Rigid prices: Evidence from U.S. scanner data. [Chicago, Ill.]: Federal Reserve Bank of Chicago, 2005.
Buscar texto completoSithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.
Buscar texto completoBeale, Stephen. The scanner book: A complete guide to the use and applications of desktop scanners. Torrance, California: Micro Pub. Co., 1989.
Buscar texto completoBeale, Stephen. The scanner handbook: A complete guide to the use and applications of desktop scanners. Oxford: Heinemann Newtech, 1990.
Buscar texto completoTibrewala, Vikas. Nonstationary conditional trend analysis: An application to scanner panel data. Fontainbleau: INSEAD, 1992.
Buscar texto completoBucklin, Randolph E. Commercial adoption of advances in the analysis of scanner data. Cambridge, Mass: Marketing Science Institute, 1998.
Buscar texto completoWeinberg, Bruce. Building an information strategy for scanner data: A conference summary. Cambridge, Mass: Marketing Science Institute, 1989.
Buscar texto completoCapítulos de libros sobre el tema "Scanner data"
Enesi, Indrit y Blerina Zanaj. "Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images". En Mobile Networks for Biometric Data Analysis, 109–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9_9.
Texto completoBiedl, Therese, Stephane Durocher y Jack Snoeyink. "Reconstructing Polygons from Scanner Data". En Algorithms and Computation, 862–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_87.
Texto completoCook, J. C., A. D. Goodson y J. W. R. Griffiths. "Low Frequency Sector Scanner Using NLA". En Underwater Acoustic Data Processing, 47–53. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_4.
Texto completoShang, Shize y Xiangwei Kong. "Printer and Scanner Forensics". En Handbook of Digital Forensics of Multimedia Data and Devices, 375–410. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch10.
Texto completoDe Vitiis, Claudia, Alessio Guandalini, Francesca Inglese y Marco Dionisio Terribili. "Sampling Schemes Using Scanner Data for the Consumer Price Index". En New Statistical Developments in Data Science, 203–17. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21158-5_16.
Texto completoHug, Christoph. "Extracting Artificial Surface Objects from Airborne Laser Scanner Data". En Automatic Extraction of Man-Made Objects from Aerial and Space Images (II), 203–12. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8906-3_20.
Texto completoWittink, Dick R. y John C. Porter. "Aggregation Bias Resulting from Nonlinearity in Scanner Retail Data". En Operations Research Proceedings 1991, 357–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46773-8_94.
Texto completoOkada, A. y A. Miyauchi. "Predicting the Amount of Purchase by a Procedure Using Multidimensional Scaling: An Application to Scanner Data on Beer". En Classification, Data Analysis, and Data Highways, 401–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72087-1_43.
Texto completoBaltsavias, E. P. y M. Crosetto. "Test and Calibration of a DTP Scanner for GIS Data Acquisition". En Data Acquisition and Analysis for Multimedia GIS, 141–50. Vienna: Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2684-4_12.
Texto completoBuonamici, Francesco, Monica Carfagni, Luca Puggelli, Michaela Servi y Yary Volpe. "A Fast and Reliable Optical 3D Scanning System for Human Arm". En Lecture Notes in Mechanical Engineering, 268–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_43.
Texto completoActas de conferencias sobre el tema "Scanner data"
Vieira, Miguel y Kenji Shimada. "Segmentation of Noisy Laser-Scanner Generated Meshes With Piecewise Polynomial Approximations". En ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57475.
Texto completoSchmitz, Anne y Davide Piovesan. "A Novel Methodology to Determine Optimal Active Marker Scanner Placement". En ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70285.
Texto completoJohnston, R. A. y N. B. Price. "RBF patching of laser scanner data". En 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ). IEEE, 2008. http://dx.doi.org/10.1109/ivcnz.2008.4762077.
Texto completoHuang, Yunbao y Xiaoping Qian. "A Dynamic Sensing-and-Modeling Approach to 3D Point- and Area-Sensor Integration". En ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21105.
Texto completoBozkurt, Nesli, Ugur Halici, Ilkay Ulusoy y Erdem Akagunduz. "3D data processing for enhancement of face scanner data". En 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136431.
Texto completoGong, Bo, William C. Messner, Tuviah E. Schlesinger, Hadas Shragai, Daniel D. Stancil y Jinhui Zhai. "Ultrahigh-performance optical servo system using an electro-optic beam scanner". En Optical Data Storage, editado por Douglas G. Stinson y Ryuichi Katayama. SPIE, 2000. http://dx.doi.org/10.1117/12.399375.
Texto completoSzabo, Csaba, Stefan Korecko y Branislav Sobota. "Processing 3D scanner data for virtual reality". En 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687085.
Texto completoXianfang Sun, Paul L. Rosin, Ralph R. Martin y Frank C. Langbein. "Noise in 3D laser range scanner data". En 2008 IEEE International Conference on Shape Modeling and Applications (SMI). IEEE, 2008. http://dx.doi.org/10.1109/smi.2008.4547945.
Texto completoAtasoy, Guzide, Pingbo Tang, Jiansong Zhang y Burcu Akinci. "Visualizing Laser Scanner Data for Bridge Inspection". En 27th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2010. http://dx.doi.org/10.22260/isarc2010/0042.
Texto completoChen, Qibao, Yi Chiu, Adrian J. Devasahayam, Michael A. Seigler, David N. Lambeth, Tuviah E. Schlesinger y Daniel D. Stancil. "Waveguide optical scanner with increased deflection sensitivity for optical data storage". En Optical Data Storage '94, editado por David K. Campbell, Martin Chen y Koichi Ogawa. SPIE, 1994. http://dx.doi.org/10.1117/12.190192.
Texto completoInformes sobre el tema "Scanner data"
Ng, Serena. Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data. Cambridge, MA: National Bureau of Economic Research, agosto de 2017. http://dx.doi.org/10.3386/w23673.
Texto completoTaylor, James L. Establishing Measurement Uncertainty for the Digital Temperature Scanner Using Calibration Data. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 2013. http://dx.doi.org/10.21236/ada594984.
Texto completoFaber, Benjamin y Thibault Fally. Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data. Cambridge, MA: National Bureau of Economic Research, enero de 2017. http://dx.doi.org/10.3386/w23101.
Texto completoChevalier, Judith, Anil Kashyap y Peter Rossi. Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data. Cambridge, MA: National Bureau of Economic Research, octubre de 2000. http://dx.doi.org/10.3386/w7981.
Texto completoGuha, Rishab y Serena Ng. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data. Cambridge, MA: National Bureau of Economic Research, mayo de 2019. http://dx.doi.org/10.3386/w25899.
Texto completoBoffo, C. y P. Bauer. FIONDA (Filtering Images of Niobium Disks Application): Filter application for Eddy Current Scanner data analysis. Office of Scientific and Technical Information (OSTI), mayo de 2005. http://dx.doi.org/10.2172/15020167.
Texto completoSmyre, J. L., M. E. Hodgson, B. W. Moll, A. L. King y Yang Cheng. Daytime multispectral scanner aerial surveys of the Oak Ridge Reservation, 1992--1994: Overview of data processing and analysis by the Environmental Restoration Remote Sensing Program, Fiscal year 1995. Office of Scientific and Technical Information (OSTI), noviembre de 1995. http://dx.doi.org/10.2172/204019.
Texto completoBrewster, S. B. Jr, M. E. Howard y J. E. Shines. A multispectral scanner survey of the Tonopah Test Range, Nevada. Date of survey: August 1993. Office of Scientific and Technical Information (OSTI), agosto de 1994. http://dx.doi.org/10.2172/10196597.
Texto completoHolden, N. E. y S. Ramavataram. Integral charged particle nuclear data bibliography: Literature scanned from April 11, 1987 through November 10, 1988. Office of Scientific and Technical Information (OSTI), diciembre de 1988. http://dx.doi.org/10.2172/6187647.
Texto completoHolden, N. E., S. Ramavataram y C. L. Dunford. Integral charged particle nuclear data bibliography: Literature scanned from April 1, 1986 through April 10, 1987. Office of Scientific and Technical Information (OSTI), abril de 1987. http://dx.doi.org/10.2172/6163940.
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