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Auswahl der wissenschaftlichen Literatur zum Thema „Stereoscopic digital image correlation“
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Zeitschriftenartikel zum Thema "Stereoscopic digital image correlation"
MOLINA VIEDMA, ANGEL JESUS, LUIS FELIPE SESE, ELÍAS LOPEZ ALBA und FRANCISCO ALBERTO DIAZ GARRIDO. „INTEGRATION OF DIGITAL IMAGE CORRELATION AND THERMOELASTICITY FOR EXPERIMENTAL ANALYSYS OF OPERATIONAL MODAL SHAPES“. DYNA 99, Nr. 4 (01.07.2024): 410–16. http://dx.doi.org/10.52152/d11078.
Der volle Inhalt der QuelleCheng, Wei-Han, und Hsin-Haou Huang. „Image-Based Hidden Damage Detection Method: Combining Stereo Digital Image Correlation and Finite Element Model Updating“. Sensors 24, Nr. 15 (25.07.2024): 4844. http://dx.doi.org/10.3390/s24154844.
Der volle Inhalt der QuelleBarranco-Gutiérrez, Alejandro-Israel, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz und Oscar-Octavio Gutiérrez-Frías. „New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements“. Applied Sciences 9, Nr. 8 (24.04.2019): 1691. http://dx.doi.org/10.3390/app9081691.
Der volle Inhalt der QuelleKim, Dong Hak, Jeong Hyun Lee, Ho Dong Kim und Ki Ju Kang. „An Experimental Measurement of Toughness Locus for a Ductile Material“. Key Engineering Materials 297-300 (November 2005): 2410–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2410.
Der volle Inhalt der QuellePaolillo, Gerardo, und Tommaso Astarita. „PaIRS-UniNa: A Robust And Accurate Free Tool For Digital Particle Image Velocimetry And Optical Camera Calibration“. Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 21 (08.07.2024): 1–9. http://dx.doi.org/10.55037/lxlaser.21st.120.
Der volle Inhalt der QuelleMolina-Viedma, Ángel J., Elías López-Alba, Luis Felipe-Sesé und Francisco A. Díaz. „Operational Deflection Shape Extraction from Broadband Events of an Aircraft Component Using 3D-DIC in Magnified Images“. Shock and Vibration 2019 (09.04.2019): 1–9. http://dx.doi.org/10.1155/2019/4039862.
Der volle Inhalt der QuelleFelipe-Sesé, Luis, Ángel Molina-Viedma, Elías López-Alba und Francisco Díaz. „RGB Colour Encoding Improvement for Three-Dimensional Shapes and Displacement Measurement Using the Integration of Fringe Projection and Digital Image Correlation“. Sensors 18, Nr. 9 (17.09.2018): 3130. http://dx.doi.org/10.3390/s18093130.
Der volle Inhalt der QuelleVetter, Sebastian, und Gunnar Siedler. „Automated 3D-Objectdocumentation on the Base of an Image Set“. Geoinformatics FCE CTU 6 (21.12.2011): 370–75. http://dx.doi.org/10.14311/gi.6.46.
Der volle Inhalt der QuelleJayyosi, C., K. Bruyère-Garnier und M. Coret. „Geometry of an inflated membrane in elliptic bulge tests: Evaluation of an ellipsoidal shape approximation by stereoscopic digital image correlation measurements“. Medical Engineering & Physics 48 (Oktober 2017): 150–57. http://dx.doi.org/10.1016/j.medengphy.2017.06.020.
Der volle Inhalt der QuelleAlizzio, Damiano, Marco Bonfanti, Guido Garozzo, Fabio Lo Savio, Roberto Montanini und Antonino Quattrocchi. „Comparison between 3D-reconstruction optical methods applied to bulge-tests through a feed-forward neural network“. ACTA IMEKO 10, Nr. 4 (30.12.2021): 194. http://dx.doi.org/10.21014/acta_imeko.v10i4.1156.
Der volle Inhalt der QuelleDissertationen zum Thema "Stereoscopic digital image correlation"
Caron, Eddy. „Mesures stéréoscopiques à l’échelle de la microstructure : application aux phénomènes hors plan dans un polycristal métallique“. Electronic Thesis or Diss., Centrale Lille Institut, 2024. http://www.theses.fr/2024CLIL0029.
Der volle Inhalt der QuelleUnderstanding the mechanisms of plasticity and damage in materials represents a va-luable resource for the qualitative development of industry. This knowledge makes it possible to reducecosts, improve safety and anticipate short- and long-term material behavior. Based on behavioralmodels, it becomes possible to carry out numerical simulations capable of predicting the evolutionof materials. Today, these simulations are indispensable for the dimensioning of mechanical systems,whatever their field of application. Although the dialogue between experimental results and numericalpredictions makes it possible to refine these models, there are still singular behaviors, particularly atthe local level, which these models are unable to predict. Tools for measuring kinematic fields have beendeveloped to go down to fine scales and understand the mechanisms at the very heart of the micro-structure, in particular with the development of Digital Image Correlation (DIC). This technology canmeasure fields at pixel level, but does not take into account “out-of-plane” displacements in the cameraaxis. Yet these displacements appear to play a crucial role in the manifestation of plasticity mecha-nisms. The development of a stereoscopic measurement technique including DIC is therefore necessaryfor any further exploration. This study focuses on the development of multi-instrument experimentaltools. In particular, it focuses on the development of non-contact stereoscopic deformation field measu-rement software, enabling the assessment of “out-of-plane” movements. The software, named PyCaSo,was developed and evaluated in the first part of the project. In the second part, other measurementtechniques, such as profilometry, EBSD (electron backscatter diffraction) and microscopy, were used tocarry out monotonic and cyclic experimental tests on a reference steel, austenitic stainless steel 316L
Lo, Haw-Jing. „Real-time stereoscopic vision system“. Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14911.
Der volle Inhalt der QuelleMosayebi, Mahshad. „Digital Laser Speckle Image Correlation“. OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2131.
Der volle Inhalt der QuelleHartley, David Andrew. „Image correlation using digital signal processors“. Thesis, Liverpool John Moores University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304465.
Der volle Inhalt der QuelleNewberry, Shawn. „Laser Speckle Patterns with Digital Image Correlation“. OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2885.
Der volle Inhalt der QuelleLiang, Yiming. „Analysis of Paperboard Performance using Digital Image Correlation“. Thesis, KTH, Hållfasthetslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277799.
Der volle Inhalt der QuelleEgenskaperna hos kartongmaterial för förpackningstillämpningar har varit ett ämne att undersökning under lång tid. Detta för att dessa egenskaper spelar en avgörande roll som produktskydd och dekorativ utformning i mängde av tillämpningar. Potentiella skador under transport påverkar bland annat materialets tillförlitlighet och prestandard. Därför är det aktuellt att undersöka samt förstå materialets förmåga att motstå yttre störningar. Experimentmaterialet som användes bestod av en typ av flerskiktskartong. Analyser som utfördes i denna avhandling har syfte att identifiera de mekaniska förändringarna i materialets dragegenskaper i tvärsmaskin-riktningen (CD) på grund av olika lokala eller globala förändringar. Förändringarna innefattar både globala och lokala klimatvariationer, utskärningar, och lokala försvagningar samt förstärkningar. Dessa förändringar infördes vid intervallet mellan på- och avlastning. Den digital bildkorrelations analys (DIC) användes för att beräknade de tidsvarierande töjningsfälten från den grånivåinformationen i som registrerades med hjälp av inspelade videor under belastningen Den genererade töjningsfälten importerades för vidare analys. Två tillstånd med liknande medelvärde av töjningsnivån från olika delar av belastningen jämfördes, detta för att isolera påverkan av förändringarna och undersöka dem individuellt. Två olika metoder för jämförelse av bilderna (cosine image similarity och eigenface algorithm) användes för att validera analysschemat, där riktning-medelvärdesberäkningar och töjningsfälts kompensations-metoden användes för att realisera dessa isoleringar. Enstaka skillnader upptäcktes mellan de främre och bakre ytskikten på kartongarken. Dessutom påverkades töjningsfördelningarna för proverna både av den globala och lokala klimatförändringar på grund av fukttillståndet i materialet. Vidare kan de osynliga mekaniska försvagningar och förstärkningar tydligt fångas med de utförda analyserna, vilket ledde till töjningskoncentrationers uppkomst på grund av det inhomogena expansions-förmåga hos arket. Relaxationen och böjningen vid avlastning relaterade till tid och böjningsförmåga var två av de primära faktorerna som påverkade analysens kvalité.
Nageswaran, Ashok R. „Deformation Analysis of Soft Tissues by Digital Image Correlation“. University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1233614556.
Der volle Inhalt der QuelleShrestha, Shashi Shekhar. „Evaluation of Composite Adhesive Bonds Using Digital Image Correlation“. OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1648.
Der volle Inhalt der QuelleKarimian, Seyed Fouad. „Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation“. OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.
Der volle Inhalt der QuelleGubbels, Wade. „3-D Digital Image Correlation using a single color-camera“. Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50491.
Der volle Inhalt der QuelleApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Bücher zum Thema "Stereoscopic digital image correlation"
Merzkirch, Matthias. Mechanical Characterization Using Digital Image Correlation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84040-2.
Der volle Inhalt der QuelleLin, Ming-Tzer, Cosme Furlong und Chi-Hung Hwang, Hrsg. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59773-3.
Der volle Inhalt der QuelleLin, Ming-Tzer, Cesar Sciammarella, Horacio D. Espinosa, Cosme Furlong, Luciano Lamberti, Phillip Reu, Michael Sutton und Chi-Hung Hwang, Hrsg. Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30009-8.
Der volle Inhalt der QuelleLamberti, Luciano, Ming-Tzer Lin, Cosme Furlong, Cesar Sciammarella, Phillip L. Reu und Michael A. Sutton, Hrsg. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97481-1.
Der volle Inhalt der QuelleLin, Ming-Tzer, Cosme Furlong, Chi-Hung Hwang, Mohammad Naraghi und Frank DelRio, Hrsg. Advancements in Optical Methods, Digital Image Correlation & Micro-and Nanomechanics, Volume 4. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17471-1.
Der volle Inhalt der QuelleCavadini, Marco. Concept and model of a multiprocessor system for high resolution image correlation. Konstanz: Hartung-Gorre, 1999.
Den vollen Inhalt der Quelle findenR, Matthys Donald, und United States. National Aeronautics and Space Administration., Hrsg. Characterization of fluid flow by digital correlation of scattered light. Huntsville, AL: Univ. of Alabama in Huntsville, 1989.
Den vollen Inhalt der Quelle findenCenter, Langley Research, Hrsg. Digital PIV (DPIV) software analysis system: Under contract NAS1-19505. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Den vollen Inhalt der Quelle findenUnited States. National Aeronautics and Space Administration., Hrsg. Fuzzy interference enhanced information recovery from digital PIV using cross-correlation combined with particle tracking. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.
Den vollen Inhalt der Quelle findenAlmiron, Miguel, und Esther Jacopin. Stéréoscopie et illusion: Archéologie et pratiques contemporaines : photographie, cinéma, arts numériques. Villeneuve-d'Ascq: Presses universitaires du Septentrion, 2018.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Stereoscopic digital image correlation"
Čech, Jan, und Radim Šára. „Complex Correlation Statistic for Dense Stereoscopic Matching“. In Image Analysis, 598–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_61.
Der volle Inhalt der QuelleIskander, Magued. „Digital Image Correlation“. In Modelling with Transparent Soils, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02501-3_8.
Der volle Inhalt der QuelleBornert, Michel, François Hild, Jean-José Orteu und Stéphane Roux. „Digital Image Correlation“. In Full-Field Measurements and Identification in Solid Mechanics, 157–90. Hoboken, NJ USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118578469.ch6.
Der volle Inhalt der QuelleSause, Markus G. R. „Digital Image Correlation“. In In Situ Monitoring of Fiber-Reinforced Composites, 57–129. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30954-5_3.
Der volle Inhalt der QuelleMichael A., Michael A., Jean-José Orteu und Hubert W. Schreier. „Digital Image Correlation (DIC)“. In Image Correlation for Shape, Motion and Deformation Measurements, 1–37. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_5.
Der volle Inhalt der QuelleGdoutos, Emmanuel E. „Digital Image Correlation (DIC)“. In Solid Mechanics and Its Applications, 251–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89466-5_12.
Der volle Inhalt der QuelleCristofolini, Luca. „Overview of Digital Image Correlation“. In Springer Series in Solid and Structural Mechanics, 187–213. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06086-6_5.
Der volle Inhalt der QuelleMichael A., Michael A., Jean-José Orteu und Hubert W. Schreier. „Volumetric Digital Image Correlation (VDIC)“. In Image Correlation for Shape, Motion and Deformation Measurements, 1–16. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_8.
Der volle Inhalt der QuelleWitz, J. F., P. Lecomte-Grosbras, A. Morch, C. Martel, F. Lesaffre und M. Brieu. „Digital Image Correlation for Large Strain“. In International Digital Imaging Correlation Society, 163–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_39.
Der volle Inhalt der QuelleYang, Jin, und Kaushik Bhattacharya. „Fast Adaptive Global Digital Image Correlation“. In Conference Proceedings of the Society for Experimental Mechanics Series, 69–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97481-1_7.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Stereoscopic digital image correlation"
Shan, Mingguang, Bei Hu, Zhi Zhong, Lei Liu, Yongqiang Xie und Zhongbo Li. „Global estimation of underwater polarization imaging using image correlation“. In Digital Holography and Three-Dimensional Imaging, W4A.32. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.w4a.32.
Der volle Inhalt der QuelleXiao, Hong, Yingxin Qin, Mingchi Feng und Kaixu Zou. „Temporal sequence Digital Image Correlation based on RNN-Conv3D“. In 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM), 761–65. IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629597.
Der volle Inhalt der QuelleFeng, Mingchi, Jinsong Liu und Xuehai Yuan. „An unsupervised digital image correlation method based on MaskFlownet“. In 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), herausgegeben von Yunhui Liu und Zili Li, 182. SPIE, 2024. http://dx.doi.org/10.1117/12.3046983.
Der volle Inhalt der QuelleEinecke, Nils, und Julian Eggert. „A Two-Stage Correlation Method for Stereoscopic Depth Estimation“. In 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2010. http://dx.doi.org/10.1109/dicta.2010.49.
Der volle Inhalt der QuelleIkeda, Christine. „Deflections on the Bottom of a Wedge-Shaped Hull due to Slamming Loads“. In SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-147.
Der volle Inhalt der QuelleIkeda, Christine, Parisa Ghandehari, Felipe S. Castro, Chance R. Aucoin und Bret H. Bye. „Slamming Load Effects on the Bottom of High-Speed Aluminum Planing Craft“. In SNAME 13th International Conference on Fast Sea Transportation. SNAME, 2015. http://dx.doi.org/10.5957/fast-2015-030.
Der volle Inhalt der QuelleHertelé, Stijn, Timothy Galle, Koen Van Minnebruggen, Wim De Waele und Otto Jan Huising. „Experimental-Numerical Assessment of Vintage Pipe and Girth Weld With a Geometrically Complex Corrosion Feature“. In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78408.
Der volle Inhalt der QuelleEastridge, Jonathan R., und Brandon M. Taravella. „An Experimental Study in the Hydroelastic Response of an Aluminum Wedge in Drop Tests“. In SNAME 30th American Towing Tank Conference. SNAME, 2017. http://dx.doi.org/10.5957/attc-2017-0018.
Der volle Inhalt der QuelleKim, Dong-Hak, Jeong-Hyun Lee und Ki-Ju Kang. „An Experimental Method to Measure Q-Parameter for Two Parameter Theory of Ductile Fracture“. In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41867.
Der volle Inhalt der QuelleBoisson, Guillaume, und Patrick Lopez. „Inter-view coding for stereoscopic Digital Cinema“. In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712282.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Stereoscopic digital image correlation"
Palaviccini, Miguel, Daniel Z. Turner und Michael Herzberg. Digital Image Correlation for Performance Monitoring. Office of Scientific and Technical Information (OSTI), Februar 2016. http://dx.doi.org/10.2172/1238316.
Der volle Inhalt der QuelleTurner, Daniel Z., Richard B. Lehoucq und Carlos A. Garavito-Garzon. PDE Constrained Optimization for Digital Image Correlation. Office of Scientific and Technical Information (OSTI), Oktober 2015. http://dx.doi.org/10.2172/1494349.
Der volle Inhalt der QuelleBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein et al. A Good Practices Guide for Digital Image Correlation. Herausgegeben von Elizabeth Jones und Mark Iadicola. International Digital Image Correlation Society, Oktober 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.
Der volle Inhalt der QuelleBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein et al. A Good Practices Guide for Digital Image Correlation. Herausgegeben von Elizabeth Jones und Mark Iadicola. International Digital Image Correlation Society, Oktober 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.
Der volle Inhalt der QuelleHall, Leslie. Digital Image Correlation of Flapping Wings for Micro-Technologies. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada558423.
Der volle Inhalt der QuelleCasias, Zachary. High Throughput Coefficient Thermal Expansion Testing Utilizing Digital Image Correlation. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1898723.
Der volle Inhalt der QuelleMahadevan, Sankaran, Vivek Agarwal, Binh T. Pham und Neal Kyle. Digital Image Correlation of Concrete Slab at University of Tennessee, Knoxville. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1364495.
Der volle Inhalt der QuelleKane, Kenneth, Samuel Bell, Ben Garrison, Brandon Johnston, Nathan Capps und Kory Linton. Report Summarizing Progress in Digital Image Correlation Analysis of Burst Phenomenon. Office of Scientific and Technical Information (OSTI), März 2022. http://dx.doi.org/10.2172/1865738.
Der volle Inhalt der QuelleGranzow, Brian N., und Daniel Thomas Seidl. Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1474264.
Der volle Inhalt der QuelleBarker, Craig, Douglas Howle, Terry Holdren, Jeffrey Koch und Raquel Ciappi. Results and Analysis from Mine Impulse Experiments Using Stereo-Digital Image Correlation. Fort Belvoir, VA: Defense Technical Information Center, Mai 2012. http://dx.doi.org/10.21236/ada561954.
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