Relevant bibliographies by topics / Scanner data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Scanner data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Scanner data"

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Bohner, Lauren, Daniel Habor, Klaus Radermacher, Stefan Wolfart, and Juliana Marotti. "Scanning of a Dental Implant with a High-Frequency Ultrasound Scanner: A Pilot Study." Applied Sciences 11, no. 12 (June 14, 2021): 5494. http://dx.doi.org/10.3390/app11125494.

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The purpose of this in vitro study was to assess the trueness of a dental implant scanned using an intraoral high-frequency ultrasound prototype and compared with conventional optical scanners. An acrylic resin cast containing a dental implant at position 11 was scanned with a fringe projection 3D sensor for use as a reference dataset. The same cast was scanned 10 times for each group. Ultrasound scanning was performed with a high-frequency probe (42 MHz, aperture diameter of 4 mm and focus length of 8 mm), and 3D images were reconstructed based on the depth of each surface point echo. Optical
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Ruzgienė, Birutė, Renata Bagdžiūnaitė, and Vilma Ruginytė. "SCANNING AERIAL PHOTOS USING A NON-PROFESSIONAL SCANNER." Geodesy and Cartography 38, no. 3 (October 1, 2012): 118–21. http://dx.doi.org/10.3846/20296991.2012.728901.

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For scanning analog aerial photographs, digital photogrammetry requires specific and expensive photogrammetric scanners. However, we only have a simple A4 format scanner useful for solving some special photogrammetric tasks applied for analyzing the possibilities of scanning photographic material. The paper investigates the peculiarities of scanning analog aerial photos using the scanner processing pictures smaller than an A4 format. The achieved results are compared with digital data obtained using a professional photogrammetric scanner. Experimental photogrammetric measurements have showed t
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Rabah, Chaima Ben, Gouenou Coatrieux, and Riadh Abdelfattah. "Boosting up Source Scanner Identification Using Wavelets and Convolutional Neural Networks." Traitement du Signal 37, no. 6 (December 31, 2020): 881–88. http://dx.doi.org/10.18280/ts.370601.

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In this paper, we present a conceptually innovative method for source scanner identification (SSI), that is to say, identifying the scanner at the origin of a scanned document. Solutions from literature can distinguish between scanners of different brands and models but fail to differentiate between scanners of the same models. To overcome this issue, the approach we propose takes advantage of a convolutional neural network (CNN) to automatically extract intrinsic scanner features from the distribution of the coefficients of the diagonal high-frequency (HH) sub-band of the discrete stationary
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Nestle, 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, no. 03 (2012): 101–10. http://dx.doi.org/10.3413/nukmed-0452-11-12.

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SummaryPurpose: To evaluate the calibration of an adaptive thresholding algorithm (contrastoriented algorithm) for FDG PET-based delineation of tumour volumes in eleven centres with respect to scanner types and image data processing by phantom measurements. Methods: A cylindrical phantom with spheres of different diameters was filled with FDG realizing different signal-to-background ratios and scanned using 5 Siemens Biograph PET/CT scanners, 5 Philips Gemini PET/CT scanners, and one Siemens ECAT-ART PET scanner. All scans were analysed by the contrast-oriented algorithm implemented in two dif
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Stangeland, Marcus, Trond Engjom, Martin Mezl, Radovan Jirik, Odd Gilja, Georg Dimcevski, and Kim Nylund. "Interobserver Variation of the Bolus-and-Burst Method for Pancreatic Perfusion with Dynamic – Contrast-Enhanced Ultrasound." Ultrasound International Open 03, no. 03 (June 2017): E99—E106. http://dx.doi.org/10.1055/s-0043-110475.

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Abstract Purpose Dynamic contrast-enhanced ultrasound (DCE-US) can be used for calculating organ perfusion. By combining bolus injection with burst replenishment, the actual mean transit time (MTT) can be estimated. Blood volume (BV) can be obtained by scaling the data to a vessel on the imaging plane. The study aim was to test interobserver agreement for repeated recordings using the same ultrasound scanner and agreement between results on two different scanner systems. Materials and Methods Ten patients under evaluation for exocrine pancreatic failure were included. Each patient was scanned
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Provenzale, James M., Brian A. Taylor, Elisabeth A. Wilde, Michael Boss, and Walter Schneider. "Analysis of variability of fractional anisotropy values at 3T using a novel diffusion tensor imaging phantom." Neuroradiology Journal 31, no. 6 (July 24, 2018): 581–86. http://dx.doi.org/10.1177/1971400918789383.

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We employed a novel diffusion tensor imaging phantom to study intra- and interscanner reproducibility on two 3T magnetic resonance (MR) scanners. Using a phantom containing thousands of hollow micron-size tubes in complex arrays, we performed two experiments using a b value of 1000 s/ms2 on two Siemens 3T Trio scanners. First, we performed 12-direction scans. Second, on one scanner, we performed two 64-direction protocols with different repetition times (TRs). We used a one-way analysis of variance to calculate differences between scanners and the Mann-Whitney U test to assess differences betw
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Xu, Ji Hong, Xiao Lin Dai, and Shu Ping Gao. "A Study on Data Acquisition from Sections of Virtual Coat Profile." Advanced Materials Research 230-232 (May 2011): 1204–9. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.1204.

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Data was obtained through scanning manikin and coats separated by using [TC]2 3D body scanner. The method, using [TC]2 scanner as the experimental method and through double converting the scanned data format to get torso geometric section sets, was analyzed. Main program source code of Torso was provided in this paper. Geometric algorithms of point cloud data and curve data in there sections was provided based on the interception ways of horizontal sections, vertical sections and other random oblique sections toward torso geometric cross section.
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Chen, Kai, Kai Zhan, Xiaocong Yang, and Da Zhang. "Accuracy Improvement Method of a 3D Laser Scanner Based on the D-H Model." Shock and Vibration 2021 (May 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/9965904.

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A three-dimensional (3D) laser scanner with characteristics such as acquiring huge point cloud data and noncontact measurement has revolutionized the surveying and mapping industry. Nonetheless, how to guarantee the 3D laser scanner precision remains the critical factor that determines the excellence of 3D laser scanners. Hence, this study proposes a 3D laser scanner error analysis and calibration-method-based D-H model, applies the D-H model method in the robot area to the 3D laser scanner coordinate for calculating the point cloud data and creatively derive the error model, comprehensively a
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Elbrecht, Pirjo, Jaak Henno, and Knut Joosep Palm. "Body Measurements Extraction from 3D Scanner Data." Applied Mechanics and Materials 339 (July 2013): 372–77. http://dx.doi.org/10.4028/www.scientific.net/amm.339.372.

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The growing power of computing, development of methods of 3D graphics for human body modeling and simulation together with development of 3D image capture technologies using 3D scanners has caused rapid development of digital tailoring - a complex of methods where made-to-measure clothing is produced starting with 3D scanning of a customer, extraction of essential measurements from obtained data cloud and then automatic production of a garment corresponding to exact measures of the customer. Extraction of exact measures from the ca 200000 data points produced by 3D scanner is a complex problem
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Liebold, F., and 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 (August 11, 2014): 191–96. http://dx.doi.org/10.5194/isprsarchives-xl-3-191-2014.

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This paper presents an approach for modeling the trajectory of a moving platform equipped with a laser scanner and a camera. In most cases, GNSS and INS is used to determine the orientation of the platform, but sometimes it is impossible to use GNSS, especially indoor applications should be mentioned here. INS has a bad error propagation without GNSS. In addition, the accuracy of GNSS and low-cost INS is limited and often not equivalent to the accuracy potential of laser scanners. For the camera, there exists the well-known alternative to obtain the orientation parameters via triangulation, fo
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Dissertations / Theses on the topic "Scanner data"

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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.

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Laser scanners provide a three-dimensional sampled representation of the surfaces of objects. The spatial resolution of the data is much higher than that of conventional surveying methods. The data collected from different locations of a laser scanner must be transformed into a common coordinate system. If good a priori alignment is provided and the point clouds share a large overlapping region, existing registration methods, such as the Iterative Closest Point (ICP) or Chen and Medioni’s method, work well. In practical applications of laser scanners, partially overlapping and unorganised poin
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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.

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Trost, 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.

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Retail demand relationships for organic and non-organic bananas, garlic, onions, and potatoes are examined using scanner data from a retail co-operative food store located in Bozeman, Montana. A level version Rotterdam demand specification is used in a six-equation system to estimate Hicksian demand elasticities. The own-price elasticity for organic onions is negative and significant. All other own-price elasticities are not significantly different from zero. This indicates consumers may not be very price sensitive for the goods in question. With few exceptions, the cross-price elasticities wh
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Tóvári, Dániel. "Segmentation Based Classification of Airborne Laser Scanner Data." [S.l. : s.n.], 2006. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000006285.

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Preuksakarn, Chakkrit. "Reconstructing plant architecture from 3D laser scanner data." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20116/document.

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Les modèles virtuels de plantes sont visuellement de plus en plus réalistes dans les applications infographiques. Cependant, dans le contexte de la biologie et l'agronomie, l'acquisition de modèles précis de plantes réelles reste un problème majeur pour la construction de modèles quantitatifs du développement des plantes.Récemment, des scanners laser 3D permettent d'acquérir des images 3D avec pour chaque pixel une profondeur correspondant à la distance entre le scanner et la surface de l'objet visé. Cependant, une plante est généralement un ensemble important de petites surfaces sur lesquelle
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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.

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<p>Conventional 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
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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.

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Henning, 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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A commercially available, tripod mounted, ground-based laser scanner was used to assess forest canopies and measure individual tree parameters. The instrument is comparable to scanning airborne light detection and ranging (lidar) technology but gathers data at higher resolution over a more limited scale. The raw data consist of a series of range measurements to visible surfaces taken at known angles relative to the scanner. Data were translated into three dimensional (3D) point clouds with points corresponding to surfaces visible from the scanner vantage point. A 20 m x 40 m permanent plot loc
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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.

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Aktuelle 3D-Stadtmodelle werden immer wichtiger in verschiedenen städtischen Anwendungsbereichen. Im Moment dienen sie als Grundlage bei der Stadtplanung, virtuellem Tourismus und Navigationssystemen. Mittlerweile ist der Bedarf an 3D-Gebäudemodellen dramatisch gestiegen. Der Grund dafür sind hauptsächlich Navigationssysteme und Onlinedienste wie Google Earth. Die Mehrheit der Untersuchungen zur Rekonstruktion von Gebäudemodellen von Luftaufnahmen konzentriert sich ausschließlich auf Dachmodellierung. Jedoch treiben Anwendungen wie Virtuelle Realität und Navigationssysteme die Nachfrage nach d
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Natter, Martin, and 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.

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Choice-Based Conjoint (CBC) models are often used for pricing decisions, especially when scanner data models cannot be applied. Up to date, it is unclear how Choice-Based Conjoint (CBC) models perform in terms of forecasting real-world shop data. In this contribution, we measure the performance of a Latent Class CBC model not by means of an experimental hold-out sample but via aggregate scanner data. We find that the CBC model does not accurately predict real-world market shares, thus leading to wrong pricing decisions. In order to improve its forecasting performance, we propose a correction s
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Books on the topic "Scanner data"

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missing], [name. Scanner data and price indexes. Chicago, IL: University of Chicago Press, 2002.

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McCann, John M., and John P. Gallagher. Expert Systems for Scanner Data Environments. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-011-3923-6.

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James, Cavuoto, ed. The color scanner book. Torrance, California: Micro Pub. Press, 1995.

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Campbell, Jeffrey R. Rigid prices: Evidence from U.S. scanner data. [Chicago, Ill.]: Federal Reserve Bank of Chicago, 2005.

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Sithole, George. Segmentation and classification of airborne laser scanner data. Delft: Nederlandse Commissie voor Geodesie, 2005.

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Beale, Stephen. The scanner book: A complete guide to the use and applications of desktop scanners. Torrance, California: Micro Pub. Co., 1989.

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Beale, Stephen. The scanner handbook: A complete guide to the use and applications of desktop scanners. Oxford: Heinemann Newtech, 1990.

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Tibrewala, Vikas. Nonstationary conditional trend analysis: An application to scanner panel data. Fontainbleau: INSEAD, 1992.

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Bucklin, Randolph E. Commercial adoption of advances in the analysis of scanner data. Cambridge, Mass: Marketing Science Institute, 1998.

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Weinberg, Bruce. Building an information strategy for scanner data: A conference summary. Cambridge, Mass: Marketing Science Institute, 1989.

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Book chapters on the topic "Scanner data"

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Enesi, Indrit, and Blerina Zanaj. "Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images." In 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.

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Biedl, Therese, Stephane Durocher, and Jack Snoeyink. "Reconstructing Polygons from Scanner Data." In Algorithms and Computation, 862–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_87.

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Cook, J. C., A. D. Goodson, and J. W. R. Griffiths. "Low Frequency Sector Scanner Using NLA." In Underwater Acoustic Data Processing, 47–53. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_4.

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Shang, Shize, and Xiangwei Kong. "Printer and Scanner Forensics." In 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.

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De Vitiis, Claudia, Alessio Guandalini, Francesca Inglese, and Marco Dionisio Terribili. "Sampling Schemes Using Scanner Data for the Consumer Price Index." In 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.

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Hug, Christoph. "Extracting Artificial Surface Objects from Airborne Laser Scanner Data." In 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.

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Wittink, Dick R., and John C. Porter. "Aggregation Bias Resulting from Nonlinearity in Scanner Retail Data." In Operations Research Proceedings 1991, 357–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46773-8_94.

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Okada, A., and A. Miyauchi. "Predicting the Amount of Purchase by a Procedure Using Multidimensional Scaling: An Application to Scanner Data on Beer." In 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.

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Baltsavias, E. P., and M. Crosetto. "Test and Calibration of a DTP Scanner for GIS Data Acquisition." In 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.

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Buonamici, Francesco, Monica Carfagni, Luca Puggelli, Michaela Servi, and Yary Volpe. "A Fast and Reliable Optical 3D Scanning System for Human Arm." In Lecture Notes in Mechanical Engineering, 268–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_43.

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AbstractThe article discusses the design of an acquisition system for the 3D surface of human arms. The system is composed by a 3D optical scanner implementing stereoscopic depth sensors and by an acquisition software responsible for the processing of the raw data. The 3D data acquired by the scanner is used as starting point for the manufacturing of custom-made 3D printed casts. Specifically, the article discusses the choices made in the development of an improved version of an existing system presented in [1] and presents the results achieved by the devised system.
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Conference papers on the topic "Scanner data"

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Vieira, Miguel, and Kenji Shimada. "Segmentation of Noisy Laser-Scanner Generated Meshes With Piecewise Polynomial Approximations." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57475.

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Laser scanners offer a fast and simple way of collecting large amounts of geometric data from real-world objects. Although this aspect makes them attractive for design and reverse engineering, the laser-scanner data is often noisy and not partitioned into meaningful surfaces. A good partitioning, or segmentation, of the scanner data has uses including feature detection, surface boundary generation, surface fitting, and surface reconstruction. This paper presents a method for segmenting noisy three-dimensional surface meshes created from laser-scanned data into distinct regions closely approxim
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Schmitz, Anne, and Davide Piovesan. "A Novel Methodology to Determine Optimal Active Marker Scanner Placement." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70285.

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Motion capture is a common technology used to measure human motion. One key aspect to collecting an ample amount of accurate data is maximizing the motion capture volume. This maximization is typically gone by a trial and error method. The purpose of this study was to develop a better method to determine the camera placement to maximize the captured volume. Two active marker scanners were methodically placed at various locations around a circle centered on a forceplate. The scanner placements of optimal coverage were defined as the position of the scanners when the area of overlap between the
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Johnston, R. A., and N. B. Price. "RBF patching of laser scanner data." In 2008 23rd International Conference Image and Vision Computing New Zealand (IVCNZ). IEEE, 2008. http://dx.doi.org/10.1109/ivcnz.2008.4762077.

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Huang, Yunbao, and Xiaoping Qian. "A Dynamic Sensing-and-Modeling Approach to 3D Point- and Area-Sensor Integration." In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21105.

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The recent advancement of 3D non-contact laser scanners enables fast measurement of parts by generating huge amount of coordinate data for a large surface area in a short time. In contrast, traditional tactile probes in the coordinate measurement machines (CMM) can generate more accurate coordinate data points in a much slower pace. Therefore the combination of laser scanners and touch probes can potentially lead to more accurate, faster and denser measurement. In this paper, we develop a dynamic sensing-and-modeling approach for integrating a tactile point sensor and an area laser scanner to
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Bozkurt, Nesli, Ugur Halici, Ilkay Ulusoy, and Erdem Akagunduz. "3D data processing for enhancement of face scanner data." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136431.

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Gong, Bo, William C. Messner, Tuviah E. Schlesinger, Hadas Shragai, Daniel D. Stancil, and Jinhui Zhai. "Ultrahigh-performance optical servo system using an electro-optic beam scanner." In Optical Data Storage, edited by Douglas G. Stinson and Ryuichi Katayama. SPIE, 2000. http://dx.doi.org/10.1117/12.399375.

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Szabo, Csaba, Stefan Korecko, and Branislav Sobota. "Processing 3D scanner data for virtual reality." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687085.

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Xianfang Sun, Paul L. Rosin, Ralph R. Martin, and Frank C. Langbein. "Noise in 3D laser range scanner data." In 2008 IEEE International Conference on Shape Modeling and Applications (SMI). IEEE, 2008. http://dx.doi.org/10.1109/smi.2008.4547945.

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Atasoy, Guzide, Pingbo Tang, Jiansong Zhang, and Burcu Akinci. "Visualizing Laser Scanner Data for Bridge Inspection." In 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.

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Chen, Qibao, Yi Chiu, Adrian J. Devasahayam, Michael A. Seigler, David N. Lambeth, Tuviah E. Schlesinger, and Daniel D. Stancil. "Waveguide optical scanner with increased deflection sensitivity for optical data storage." In Optical Data Storage '94, edited by David K. Campbell, Martin Chen, and Koichi Ogawa. SPIE, 1994. http://dx.doi.org/10.1117/12.190192.

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Reports on the topic "Scanner data"

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Ng, Serena. Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data. Cambridge, MA: National Bureau of Economic Research, August 2017. http://dx.doi.org/10.3386/w23673.

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Taylor, James L. Establishing Measurement Uncertainty for the Digital Temperature Scanner Using Calibration Data. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada594984.

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Faber, Benjamin, and Thibault Fally. Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23101.

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Chevalier, Judith, Anil Kashyap, and Peter Rossi. Why Don't Prices Rise During Periods of Peak Demand? Evidence from Scanner Data. Cambridge, MA: National Bureau of Economic Research, October 2000. http://dx.doi.org/10.3386/w7981.

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Guha, Rishab, and Serena Ng. A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data. Cambridge, MA: National Bureau of Economic Research, May 2019. http://dx.doi.org/10.3386/w25899.

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Boffo, C., and P. Bauer. FIONDA (Filtering Images of Niobium Disks Application): Filter application for Eddy Current Scanner data analysis. Office of Scientific and Technical Information (OSTI), May 2005. http://dx.doi.org/10.2172/15020167.

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Smyre, J. L., M. E. Hodgson, B. W. Moll, A. L. King, and 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), November 1995. http://dx.doi.org/10.2172/204019.

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Brewster, S. B. Jr, M. E. Howard, and 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), August 1994. http://dx.doi.org/10.2172/10196597.

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Holden, N. E., and 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), December 1988. http://dx.doi.org/10.2172/6187647.

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Holden, N. E., S. Ramavataram, and 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), April 1987. http://dx.doi.org/10.2172/6163940.

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