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Journal articles on the topic '3d scanning'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 March 2023

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1

Hattab, Ammar, Ian Gonsher, Daniel Moreno, and Gabriel Taubin. "Differential 3D Scanning." IEEE Computer Graphics and Applications 37, no. 3 (May 2017): 43–51. http://dx.doi.org/10.1109/mcg.2017.39.

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2

Michalíková, Monika, Lucia Bednarčíková, Branko Štefanovič, Mária Danko, Marianna Trebuňová, and Jozef Živčák. "HAND 3D SCANNING POSSIBILITIES." Acta Tecnología 6, no. 4 (December 31, 2020): 105–10. http://dx.doi.org/10.22306/atec.v6i4.88.

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3D scanning as an innovative method of obtaining specific substrates for the design of prosthetic-orthotic devices is now becoming increasingly popular. The advantages of this technology over the classic way of taking the dimensional and shape characteristics of parts of the human body are its non-invasiveness, speed, archiving and, more recently, the possibility of using a low-cost 3D scanner, thus reducing economic demands and making the technology available to most orthopaedic technicians. The article offers a comprehensive overview of the correct positioning of the hand and fingers for selected types of gripping as well as possible complications in their scanning, for the achievement of correct digital models applicable to the design of personalized orthotic devices.

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3

Evanko, Daniel. "Motionless fast 3D scanning." Nature Methods 5, no. 6 (June 2008): 464. http://dx.doi.org/10.1038/nmeth0608-464a.

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4

Mitchell, Harvey. "3D Body Scanning Technologies." Photogrammetric Record 28, no. 141 (March 2013): 115–16. http://dx.doi.org/10.1111/phor.12022.

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5

Huber, D., M. Keller, and D. Robert. "3D light scanning macrography." Journal of Microscopy 203, no. 2 (August 2001): 208–13. http://dx.doi.org/10.1046/j.1365-2818.2001.00892.x.

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6

Derejczyk, Karol, and Przemysław Siemiński. "Optical 3D scanning accuracy check." Mechanik, no. 4 (April 2016): 312–13. http://dx.doi.org/10.17814/mechanik.2016.4.41.

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7

Hong. "3D Indoor Modeling Based on Terrestrial Laser Scanning." Journal of the Korean Society of Civil Engineers 35, no. 2 (2015): 525. http://dx.doi.org/10.12652/ksce.2015.35.2.0525.

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8

Hu, PengPeng, Duan Li, Ge Wu, Taku Komura, Dongliang Zhang, and Yueqi Zhong. "Personalized 3D mannequin reconstruction based on 3D scanning." International Journal of Clothing Science and Technology 30, no. 2 (April 16, 2018): 159–74. http://dx.doi.org/10.1108/ijcst-05-2017-0067.

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PurposeCurrently, a common method of reconstructing mannequin is based on the body measurements or body features, which only preserve the body size lacking of the accurate body geometric shape information. However, the same human body measurement does not equal to the same body shape. This may result in an unfit garment for the target human body. The purpose of this paper is to propose a novel scanning-based pipeline to reconstruct the personalized mannequin, which preserves both body size and body shape information.Design/methodology/approachThe authors first capture the body of a subject via 3D scanning, and a statistical body model is fit to the scanned data. This results in a skinned articulated model of the subject. The scanned body is then adjusted to be pose-symmetric via linear blending skinning. The mannequin part is then extracted. Finally, a slice-based method is proposed to generate a shape-symmetric 3D mannequin.FindingsA personalized 3D mannequin can be reconstructed from the scanned body. Compared to conventional methods, the method can preserve both the size and shape of the original scanned body. The reconstructed mannequin can be imported directly into the apparel CAD software. The proposed method provides a step for digitizing the apparel manufacturing.Originality/valueCompared to the conventional methods, the main advantage of the authors’ system is that the authors can preserve both size and geometry of the original scanned body. The main contributions of this paper are as follows: decompose the process of the mannequin reconstruction into pose symmetry and shape symmetry; propose a novel scanning-based pipeline to reconstruct a 3D personalized mannequin; and present a slice-based method for the symmetrization of the 3D mesh.

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9

Hoyer, Klaus, Markus Holzner, Beat Lüthi, Michele Guala, Alexander Liberzon, and Wolfgang Kinzelbach. "3D scanning particle tracking velocimetry." Experiments in Fluids 39, no. 5 (August 25, 2005): 923–34. http://dx.doi.org/10.1007/s00348-005-0031-7.

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10

NAGAI, Yukie. "Geometry Interface for 3D Scanning." Journal of the Japan Society for Precision Engineering 79, no. 6 (2013): 497–501. http://dx.doi.org/10.2493/jjspe.79.497.

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11

Di Donato, Andrea, Luigino Criante, Sara LoTurco, and Marco Farina. "Optical microcavity scanning 3D tomography." Optics Letters 39, no. 19 (September 16, 2014): 5495. http://dx.doi.org/10.1364/ol.39.005495.

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12

Baumberg, Adam, Alex Lyons, and Richard Taylor. "3D S.O.M.—A commercial software solution to 3D scanning." Graphical Models 67, no. 6 (November 2005): 476–95. http://dx.doi.org/10.1016/j.gmod.2004.10.002.

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13

Kim, Young-Tak, Ju-Won Park, Han-Ho Tack, and Sang-Bae Lee. "A Study on the Intelligent 3D Foot Scanning System." Journal of Korean Institute of Intelligent Systems 14, no. 7 (December 1, 2004): 871–77. http://dx.doi.org/10.5391/jkiis.2004.14.7.871.

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14

Cha, Su-Joung. "Comparison of Size between direct-measurement and 3D body scanning." Fashion business 16, no. 1 (February 28, 2012): 150–59. http://dx.doi.org/10.12940/jfb.2012.16.1.150.

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15

Morovič, Ladislav, and Peter Pokorný. "Optical 3D Scanning of Small Parts." Advanced Materials Research 468-471 (February 2012): 2269–73. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2269.

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The paper deals with the investigation of 3D digitizing of small parts specifically by optical 3D scanner GOM ATOS TripleScan. The paper shortly illustrates the general concept of Reverse Engineering, which includes also the 3D scanning. The paper also describes the optical 3D scanner GOM ATOS TripleScan and a three-dimensional model obtaining procedure by means of this scanner. In the main part of the paper the concrete 3D scanning process of chosen individual objects is described (clips, ball nose end mill, screw drill, coin). Their shape and size were specific and distinct, therefore it was possible to test and compare particular digitizing attributes. The problems that occurred during 3D digitizing of individual parts are step by step discussed and solved.

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16

A, Eicher,. "3D-scanning in Doha: From point clouds to the real image 3D-Scannen in Doha: Von Punktwolken zum realen Bild." GIS Business 11, no. 6 (December 8, 2016): 12–14. http://dx.doi.org/10.26643/gis.v11i6.5213.

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17

Peterka, Jozef, Ladislav Morovič, Peter Pokorný, Martin Kováč, and František Hornák. "Optical 3D Scanning of Cutting Tools." Applied Mechanics and Materials 421 (September 2013): 663–67. http://dx.doi.org/10.4028/www.scientific.net/amm.421.663.

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The paper shortly illustrates the general concept of Reverse Engineering, which includesalso the 3D scanning. In the main part of the paper the concrete 3D scanning process of chosen individual objects are described. The problems that occurred during 3D digitizing of individual parts are step by step discussed and solved. The paper deals with 3D scanning of ball nose end mills and screw drill. The article gives a procedure for digitizing and comparing the results of the scanned digital models of the two ball nose end mills and screw drill.

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18

Fang, Shiaofen, Basil George, and Mathew Palakal. "Automatic Surface Scanning of 3D Artifacts." International Journal of Virtual Reality 8, no. 4 (January 1, 2009): 67–72. http://dx.doi.org/10.20870/ijvr.2009.8.4.2750.

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This paper describes an automatic 3D surface scanning technique using a 3D scanner. It allows the acquisition of a complete surface model of a 3D artifact without any manual registration and human interference. A two-pass approach is applied using a rotary table. In the first pass, a sequence of 2D images of the artifact are collected using a small rotation step. An image similarity measure is then taken to compare adjacent images to assess the differences between consecutive images to establish the optimal scanning angles. In the second pass, 3D scans are taken using the scanning angles derived in the first pass. An Iterative Closest Point (ICP) algorithm is employed to provide precise data alignment of neighboring scans. A new space encoding algorithm is developed to filter the over sampling areas for smoother polygonization. This technique is being implemented in a digital library project for the reconstructions of 3D computer models for artifacts from a collection in several Museums.

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19

Mezei, Adrián, and Tibor Kovács. "Curvature Adaptive 3D Scanning Transformation Calculation." Periodica Polytechnica Electrical Engineering and Computer Science 62, no. 4 (June 13, 2018): 107–16. http://dx.doi.org/10.3311/ppee.11540.

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Three-dimensional objects can be scanned by 3D laser scanners that use active triangulation. These scanners create three-dimensional point clouds from the scanned objects. The laser line is identified in the images, which are captured at given transformations by the camera, and the point cloud can be calculated from these. The hardest challenge is to construct these transformations so that most of the surface can be captured. The result of a scanning may have missing parts because either not the best transformations were used or because some parts of the object cannot be scanned. Based on the results of the previous scans, a better transformation plan can be created, with which the next scan can be performed. In this paper, a method is proposed for transforming a special 3D scanner into a position from where the scanned point can be seen from an ideal angle. A method is described for estimating this transformation in real-time, so these can be calculated for every point of a previous scan to set up a next improved scan.

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20

Khalili, Khalil, Seyed Yousef Ahmadi-Brooghani, and M. Rakhshkhorshid. "CAD Model Generation Using 3D Scanning." Advanced Materials Research 23 (October 2007): 169–72. http://dx.doi.org/10.4028/www.scientific.net/amr.23.169.

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3D Scanners are used in industrial applications such as reverse engineering and inspection. Customization of existing CAD systems is one of rapid ways to supplying a 3D Scanning software. In this paper, using AutoLisp and Visual Basic programming languages, AutoCAD has been customized. Also facilities of automatic scanning of physical parts, in the domain of free form surfaces, have been provided. Furthermore, possibilities such as, control of scanner automotive system, representation of registered point clouds, generation of polygon and /or NURBS model from primary or modified point clouds, have been prepared. Triangulation and image processing techniques along with a new fuzzy logic algorithm have been used to extract the depth information more accurate. These, accompanying with AutoCAD capabilities have provided acceptable facilities for 3D scanning.

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21

SUZUKI, Hiromasa. "Digital Engineering Utilizing 3D Scanning Technologies." Journal of the Japan Society for Precision Engineering 83, no. 10 (2017): 917–21. http://dx.doi.org/10.2493/jjspe.83.917.

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22

Potangaroa, R. "3D scanning as an architectural tool." IOP Conference Series: Earth and Environmental Science 1007, no. 1 (March 1, 2022): 012001. http://dx.doi.org/10.1088/1755-1315/1007/1/012001.

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Abstract Laser scanners are gaining acceptance as a tool for three-dimensional modelling of existing buildings, but not much more than that. The idea that a digital model constructed from hundreds of thousands of measured laser points having ‘soulful’ applications remains foreign to Architects. This paper presents the work that has been ongoing for over 5 years at the School of Architecture at Victoria University of Wellington in New Zealand and the ‘soulful’ experiences we have encountered in that work.

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23

Izvoltova, Jana, Peter Pisca, Vladimir Kotka, and Marian Mancovic. "3D Laser Scanning of Railway Line." Communications - Scientific letters of the University of Zilina 15, no. 4 (November 30, 2013): 80–84. http://dx.doi.org/10.26552/com.c.2013.4.80-84.

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24

Chaudhari, Prabhat Kumar, and O. P. Kharbanda. "Intraoral 3D Scanning in Cleft Care." Cleft Palate-Craniofacial Journal 54, no. 5 (September 2017): 618. http://dx.doi.org/10.1597/16-127.

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25

Song, Eungyeol, Sun-Woong Yoon, Hanbin Son, and Sunjin Yu. "Foot Measurement Using 3D Scanning Model." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 18, no. 3 (September 30, 2018): 167–74. http://dx.doi.org/10.5391/ijfis.2018.18.3.167.

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26

Yan, Feilong, Andrei Sharf, Wenzhen Lin, Hui Huang, and Baoquan Chen. "Proactive 3D scanning of inaccessible parts." ACM Transactions on Graphics 33, no. 4 (July 27, 2014): 1–8. http://dx.doi.org/10.1145/2601097.2601191.

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27

Oldham, Mark. "3D dosimetry by optical-CT scanning." Journal of Physics: Conference Series 56 (December 1, 2006): 58–71. http://dx.doi.org/10.1088/1742-6596/56/1/006.

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28

Scopigno, Roberto. "3D Scanning Technology: Capabilities and Issues." Computer Graphics Forum 21, no. 3 (September 2002): xix. http://dx.doi.org/10.1111/1467-8659.00579.

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29

SUZUKI, Hiromasa. "Surface Reconstruction from 3D Scanning Data." Journal of the Japan Society for Precision Engineering 71, no. 10 (2005): 1229–32. http://dx.doi.org/10.2493/jjspe.71.1229.

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30

OHTAKE, Yutaka. "Industrial Applications Utilizing 3D Scanning Technology." Journal of the Japan Society for Precision Engineering 79, no. 10 (2013): 908–12. http://dx.doi.org/10.2493/jjspe.79.908.

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31

Treleaven, Philip, and Jonathan Wells. "3D Body Scanning and Healthcare Applications." Computer 40, no. 7 (July 2007): 28–34. http://dx.doi.org/10.1109/mc.2007.225.

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32

Di Martino, J. Matías, Alicia Fernández, and José A. Ferrari. "One-shot 3D gradient field scanning." Optics and Lasers in Engineering 72 (September 2015): 26–38. http://dx.doi.org/10.1016/j.optlaseng.2015.04.001.

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33

Girya, L. V., and G. P. Trofimov. "Laser 3D scanning of architectural monuments." Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture 24, no. 6 (December 20, 2022): 35–43. http://dx.doi.org/10.31675/1607-1859-2022-24-6-35-43.

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34

KOVÁČ, Ondrej, and Ján MIHALÍK. "ESTIMATION OF SPATIAL COORDINATES OF 3D OBJECTS BY STEREOSCOPIC SCANNING." Acta Electrotechnica et Informatica 14, no. 3 (September 1, 2014): 43–48. http://dx.doi.org/10.15546/aeei-2014-0028.

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35

Remondino, Fabio. "Heritage Recording and 3D Modeling with Photogrammetry and 3D Scanning." Remote Sensing 3, no. 6 (May 30, 2011): 1104–38. http://dx.doi.org/10.3390/rs3061104.

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36

Salwierz, Aleksandra, and Tomasz Szymczyk. "Methods of creating realistic spaces – 3D scanning and 3D modelling." Journal of Computer Sciences Institute 14 (March 30, 2020): 101–8. http://dx.doi.org/10.35784/jcsi.1584.

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Article shows two modern methods of creating realistic 3D spaces. The comparison includes 3D scanning with FARO Focus 3D X330 and 3D modelling in Blender 2.8. Analysis of methods for creating realistic 3D spaces can be useful in many fields e.g.: architecture, 3D printing, games industry, visualization, criminalistics, reverse engineering or monument documentation. The paper also describes process of generating a chosen space for each method. Each of the two approaches is assessed in terms of the expenses, precision and degree of reflecting reality.. Article includes an analysis of encountered problems and their possible sources. The paper also evaluate usefulness and profitability for each method. A research was carried out and focused on degree of immersion for VR visualizations depending on the used method.

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37

Trebuňa, Peter, Marek Mizerák, Jozef Trojan, and Ladislav Rosocha. "3D SCANNING AS A MODERN TECHNOLOGY FOR CREATING 3D MODELS." Acta Tecnología 6, no. 1 (March 31, 2020): 21–24. http://dx.doi.org/10.22306/atec.v6i1.74.

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38

Caius, Didulescu, Savu Adrian, Badea Gheorghe, and Badea Ana Cornelia. "Using 3D Terrestrial Laser Scanning Technology to Obtain 3D Deliverables." Advanced Science Letters 19, no. 1 (January 1, 2013): 70–74. http://dx.doi.org/10.1166/asl.2013.4719.

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39

Gürcüoğlu, Oğuz, I. Deniz Derman, Melisa Altınsoy, Ramin Khayatzadeh, Fehmi Çivitci, Ahmet C. Erten, and Onur Ferhanoğlu. "A 3D-printed 3D actuator for miniaturized laser scanning probes." Sensors and Actuators A: Physical 317 (January 2021): 112448. http://dx.doi.org/10.1016/j.sna.2020.112448.

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40

Ouji, Karima, Mohsen Ardabilian, Liming Chen, and Faouzi Ghorbel. "3D Deformable Super-Resolution for Multi-Camera 3D Face Scanning." Journal of Mathematical Imaging and Vision 47, no. 1-2 (November 10, 2012): 124–37. http://dx.doi.org/10.1007/s10851-012-0399-y.

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41

Tota, Albana, Ermira Shehi, and Aferdita Onuzi. "3D Scanning and 3D Printing Technologies used in Albanian Heritage Preservation." European Journal of Engineering Research and Science 2, no. 12 (December 29, 2017): 39. http://dx.doi.org/10.24018/ejers.2017.2.12.566.

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In cultural heritage study of 3D modeling has become a very useful process to obtain indispensable data for documentation and visualization. 3D scanning and 3D printing suggest a vital solution in preserving and sustaining traditional folk costumes. 3D scanning and 3D digitizing is defined as the process of using metrological methods to ascertain the size and shape of a scanned object, which may often involve an optical device that rotates around the desired scanned model. In digital preservation, especially for three dimensional physical artifacts in various crafts, the geometric shape of an object is most important. The aim of this paper is to show 3D scanning technology that produces a high-precision digital reference document to provide virtual model for replication, and makes possible easy mass distribution of digital data. We also experimented with 3d Additive manufacturing or 3D printing to show a way to actualize digital forms of folk accessories for the experimental manufacturing and to show a way how to preserve nowadays the original object. The work includes scanning, modeling, and printing of waist coat and of coin handicrafts. Experiments will be carried out on 3d scanning, 3d modeling software, reconstruction and fabrication -rapid prototyping.

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42

Tota, Albana, Ermira Shehi, and Aferdita Onuzi. "3D Scanning and 3D Printing Technologies used in Albanian Heritage Preservation." European Journal of Engineering and Technology Research 2, no. 12 (December 29, 2017): 39–45. http://dx.doi.org/10.24018/ejeng.2017.2.12.566.

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In cultural heritage study of 3D modeling has become a very useful process to obtain indispensable data for documentation and visualization. 3D scanning and 3D printing suggest a vital solution in preserving and sustaining traditional folk costumes. 3D scanning and 3D digitizing is defined as the process of using metrological methods to ascertain the size and shape of a scanned object, which may often involve an optical device that rotates around the desired scanned model. In digital preservation, especially for three dimensional physical artifacts in various crafts, the geometric shape of an object is most important. The aim of this paper is to show 3D scanning technology that produces a high-precision digital reference document to provide virtual model for replication, and makes possible easy mass distribution of digital data. We also experimented with 3d Additive manufacturing or 3D printing to show a way to actualize digital forms of folk accessories for the experimental manufacturing and to show a way how to preserve nowadays the original object. The work includes scanning, modeling, and printing of waist coat and of coin handicrafts. Experiments will be carried out on 3d scanning, 3d modeling software, reconstruction and fabrication -rapid prototyping.

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43

Pégard, Nicolas C., Marton L. Toth, Monica Driscoll, and Jason W. Fleischer. "Flow-scanning optical tomography." Lab Chip 14, no. 23 (2014): 4447–50. http://dx.doi.org/10.1039/c4lc00701h.

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44

Kim, Hoon Hui, and Keon Woo Lee. "Drawing and utilization of artifacts through 3D scanning." Yeongnam Archaeological Society 95 (January 30, 2023): 221–39. http://dx.doi.org/10.47417/yar.2023.95.221.

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Archaeological data, called drawings of artifacts, are created through the accumulated experience of archaeol- ogists, and are the most efficient form of showing artifacts with three-dimensional shapes on a two-dimensional report page. Drawing of artifacts is finally completed through the stages of measurement, drafting, and editing of artifacts. In the process of drawing, actual measurements have been made through human hands in the past, but now a method through 3D scanning is additionally used. Existing measurement requires a lot of time and labor of the researcher, and there is a difference depending on the skill level of the researcher, and errors may occur for relics with high difficulty of measurement. If the actual measurement drawings completed in this way are drafted, errors in the drafting stage are added to express the result that is separated from the original form of the artifact. 3D scanning to replace this shows the advantage of efficient drawing by reducing time and errors compared to work that goes through human hands. In the archaeological field, conversion from analog to digital has been carried out in many ways. If this base spreads, it is thought that it will be possible to create a new research area through the management of digitized archaeological data and the establishment of big data.

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45

Ciobanu, Octavian, and Mariana Rotariu. "Photogrammetric Scanning and Applications in Medicine." Applied Mechanics and Materials 657 (October 2014): 579–83. http://dx.doi.org/10.4028/www.scientific.net/amm.657.579.

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Creating 3D models automatically from photographs is a relatively new technology. This sort of 3D scanning is based on the principles of photogrammetry, similar in methodology to panoramic photography; the photos are taken of one object and from different positions of camera in order to replicate the object. Paper approaches different typical anatomic surfaces by photogrammetric scanning and 3D reconstruction. Documented surfaces include anatomic surfaces like foot, upper body, head, and ear. The aim is to give users recommendations, which body part is suited best for this type of scanning, or even if a combination of photogrammetry and another 3D scanning technique is advisable. Comments like possible medical applications, quality of the results, required equipment and occurring problems are to be considered.

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46

Buhr, Malte, Chabir Akramyar, and Jörg Wollnack. "3D-Scannen beim roboterbasierten Auftragschweißen/Digitalization of additive manufacturing – 3D-Scanning in robot-baser cladding process." wt Werkstattstechnik online 112, no. 07-08 (2022): 516–19. http://dx.doi.org/10.37544/1436-4980-2022-07-08-70.

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Die roboterbasierte Additive Fertigung erlaubt die schicht- weise Herstellung von ressourceneffizienten Großstrukturen. Prozessinstabilitäten setzen die Verwendung von Geometriesensorik zur Regelung und Qualitätssicherung voraus. Deren Einsatz bedingt die Kalibrierung des Gesamtsystems. In diesem Beitrag werden die entsprechenden Konzepte aufgezeigt und weiterentwickelt. Robot-based additive manufacturing enables the production of large and resource-efficient parts layer-by-layer. Instabilities of the process induce the necessity of geometrical sensing for close-loop control and quality assurance. The use presupposes a calibration of the sensor-based robotic system. In this paper the existing concepts will be presented and adapted.

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47

Chen, Yi Cheng, and Shi Chang Tseng. "Novel Scanning Immersion Lithography for 3D Microfabrication." Applied Mechanics and Materials 249-250 (December 2012): 747–51. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.747.

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We propose the first time combining the merit of scanning and immersion lithography to fabricate 3D microstructure in this study. Via applying a matching liquid to reduce the diffraction error, the gap between the mask/resist becomes more tolerable. In addition, the liquid also act as a lubricant and a buffer for smooth movement of the mask/substrate. These advantages will benefit the performance of scanning lithography technique. The experimental results show that the large-area, 3D microstructure with excellent surface quality (Ravg<10 nm) can be successively fabricated based on this method. Besides, 3D microstructures with various geometries and functionalities can be generated by altering the shape of the mask pattern, or changing the scanning directions. The proposed SIL technique seems to be a promising way for fabricating 3D microstructure for optical applications.

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48

Кудерова, I. Kuderova, Михайлова, M. Mikhaylova, Юмашев, A. Yumashev, Кристаль, and E. Kristal. "Variants of using 3d scanning in prosthetic dentistry." Journal of New Medical Technologies. eJournal 9, no. 1 (April 17, 2015): 0. http://dx.doi.org/10.12737/8116.

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The use of dental implants provides aesthetic dental prosthesis and high functionality, and innovative concepts and ideas associated with pre-prosthetic reconstruction of the jaw, allow the patients to improve the quality of life through the use of dentures on implants. However, the dentists and the implantologists forget about the category of patients who have the expressed dental phobic reactions accompanied with the neuromuscular disorders as the reflexes, in particular a gag reflex. A special approach and comprehensive treatment with the use of additional measures to resolve adverse reactions is necessary for these patients. This allows to simplify the work of dentists and to improve the quality of life of patients. Analysis of the results of the use of analog techniques for obtaining print and intraoral scanning each patient in one visit was conducted in this study. After treatment the patients were interviewed and questioned about the perception of both methods. A secondary purpose of the study was to determine the time required for each procedure. In a small number of cases, the patients negatively perceived total time required for intraoral scanning. The use of analog techniques as print required less time than for intraoral scanning. On the basis of the study results, the authors concluded that the patients preferred the intraoral scanning. The authors note that to obtain prints by means of the traditional method wasn’t carried out in two patients with a particularly strong gag reflex, and to obtain prints using dental impression masses was difficult in 9 patients. The majority of patients perceived long intraoral scanning more positively than the traditional method of obtaining prints using dental impression masses.

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Zhang, Dong, Teng Huang, and Jing Cao Song. "CAD Model Reconstruction Using 3D Laser Scanning." Applied Mechanics and Materials 71-78 (July 2011): 3485–88. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.3485.

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Abstract:

This paper presents a method for automatic CAD model reconstruction from 3D laser scanning data. 3D laser scanning is a surveying instrument integrated with various kinds of new high technologies, which operates by non-contact high speed laser measurement. The whole process includes data capturing, noise reduction, sub-sampling and surface reconstruction. Modeling accuracy is analyzed afterwards and finally comes to a conclusion that modeling from 3D laser scanning has a great value in virtual reproduction of the objects. Result shows the efficiency of the method addressed in the paper to mode objects.

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Pan, Yi Heng, Zhi Gang Li, Zhan Shi Liu, and Bo Li. "The Application of 3D Laser Scanning Technology in Ginkgo Landslide Monitoring." Advanced Materials Research 898 (February 2014): 759–62. http://dx.doi.org/10.4028/www.scientific.net/amr.898.759.

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Abstract:

Three-dimensional laser scanning technology, short for 3D laser scanning technology, is another innovation in surveying and mapping technology after GPS space positioning technology. This paper introduces the 3D laser scanning technology applied in the Ginkgo landslide monitoring. In this paper, the monitoring schematic design, data acquisition, data processing and data analysis are systematically introduced. It follows that Ginkgo landslide overall deformation characteristics, 3D laser scanning technologys strengths and weaknesses in the landslide monitoring. It is promising for the application of 3D laser scanning technology in landslide monitoring.

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