Literatura académica sobre el tema "Stereoscopic digital image correlation"
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Artículos de revistas sobre el tema "Stereoscopic digital image correlation"
MOLINA VIEDMA, ANGEL JESUS, LUIS FELIPE SESE, ELÍAS LOPEZ ALBA y FRANCISCO ALBERTO DIAZ GARRIDO. "INTEGRATION OF DIGITAL IMAGE CORRELATION AND THERMOELASTICITY FOR EXPERIMENTAL ANALYSYS OF OPERATIONAL MODAL SHAPES". DYNA 99, n.º 4 (1 de julio de 2024): 410–16. http://dx.doi.org/10.52152/d11078.
Texto completoCheng, Wei-Han y Hsin-Haou Huang. "Image-Based Hidden Damage Detection Method: Combining Stereo Digital Image Correlation and Finite Element Model Updating". Sensors 24, n.º 15 (25 de julio de 2024): 4844. http://dx.doi.org/10.3390/s24154844.
Texto completoBarranco-Gutiérrez, Alejandro-Israel, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz y Oscar-Octavio Gutiérrez-Frías. "New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements". Applied Sciences 9, n.º 8 (24 de abril de 2019): 1691. http://dx.doi.org/10.3390/app9081691.
Texto completoKim, Dong Hak, Jeong Hyun Lee, Ho Dong Kim y Ki Ju Kang. "An Experimental Measurement of Toughness Locus for a Ductile Material". Key Engineering Materials 297-300 (noviembre de 2005): 2410–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2410.
Texto completoPaolillo, Gerardo y 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 (8 de julio de 2024): 1–9. http://dx.doi.org/10.55037/lxlaser.21st.120.
Texto completoMolina-Viedma, Ángel J., Elías López-Alba, Luis Felipe-Sesé y Francisco A. Díaz. "Operational Deflection Shape Extraction from Broadband Events of an Aircraft Component Using 3D-DIC in Magnified Images". Shock and Vibration 2019 (9 de abril de 2019): 1–9. http://dx.doi.org/10.1155/2019/4039862.
Texto completoFelipe-Sesé, Luis, Ángel Molina-Viedma, Elías López-Alba y 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, n.º 9 (17 de septiembre de 2018): 3130. http://dx.doi.org/10.3390/s18093130.
Texto completoVetter, Sebastian y Gunnar Siedler. "Automated 3D-Objectdocumentation on the Base of an Image Set". Geoinformatics FCE CTU 6 (21 de diciembre de 2011): 370–75. http://dx.doi.org/10.14311/gi.6.46.
Texto completoJayyosi, C., K. Bruyère-Garnier y 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 (octubre de 2017): 150–57. http://dx.doi.org/10.1016/j.medengphy.2017.06.020.
Texto completoAlizzio, Damiano, Marco Bonfanti, Guido Garozzo, Fabio Lo Savio, Roberto Montanini y Antonino Quattrocchi. "Comparison between 3D-reconstruction optical methods applied to bulge-tests through a feed-forward neural network". ACTA IMEKO 10, n.º 4 (30 de diciembre de 2021): 194. http://dx.doi.org/10.21014/acta_imeko.v10i4.1156.
Texto completoTesis sobre el tema "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.
Texto completoUnderstanding 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.
Texto completoMosayebi, Mahshad. "Digital Laser Speckle Image Correlation". OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2131.
Texto completoHartley, 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.
Texto completoNewberry, Shawn. "Laser Speckle Patterns with Digital Image Correlation". OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2885.
Texto completoLiang, 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.
Texto completoEgenskaperna 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.
Texto completoShrestha, Shashi Shekhar. "Evaluation of Composite Adhesive Bonds Using Digital Image Correlation". OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1648.
Texto completoKarimian, Seyed Fouad. "Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation". OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.
Texto completoGubbels, Wade. "3-D Digital Image Correlation using a single color-camera". Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50491.
Texto completoApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Libros sobre el tema "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.
Texto completoLin, Ming-Tzer, Cosme Furlong y Chi-Hung Hwang, eds. 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.
Texto completoLin, Ming-Tzer, Cesar Sciammarella, Horacio D. Espinosa, Cosme Furlong, Luciano Lamberti, Phillip Reu, Michael Sutton y Chi-Hung Hwang, eds. 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.
Texto completoLamberti, Luciano, Ming-Tzer Lin, Cosme Furlong, Cesar Sciammarella, Phillip L. Reu y Michael A. Sutton, eds. 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.
Texto completoLin, Ming-Tzer, Cosme Furlong, Chi-Hung Hwang, Mohammad Naraghi y Frank DelRio, eds. 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.
Texto completoCavadini, Marco. Concept and model of a multiprocessor system for high resolution image correlation. Konstanz: Hartung-Gorre, 1999.
Buscar texto completoR, Matthys Donald y United States. National Aeronautics and Space Administration., eds. Characterization of fluid flow by digital correlation of scattered light. Huntsville, AL: Univ. of Alabama in Huntsville, 1989.
Buscar texto completoCenter, Langley Research, ed. Digital PIV (DPIV) software analysis system: Under contract NAS1-19505. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Fuzzy interference enhanced information recovery from digital PIV using cross-correlation combined with particle tracking. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.
Buscar texto completoAlmiron, Miguel y Esther Jacopin. Stéréoscopie et illusion: Archéologie et pratiques contemporaines : photographie, cinéma, arts numériques. Villeneuve-d'Ascq: Presses universitaires du Septentrion, 2018.
Buscar texto completoCapítulos de libros sobre el tema "Stereoscopic digital image correlation"
Čech, Jan y Radim Šára. "Complex Correlation Statistic for Dense Stereoscopic Matching". En Image Analysis, 598–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_61.
Texto completoIskander, Magued. "Digital Image Correlation". En Modelling with Transparent Soils, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02501-3_8.
Texto completoBornert, Michel, François Hild, Jean-José Orteu y Stéphane Roux. "Digital Image Correlation". En 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.
Texto completoSause, Markus G. R. "Digital Image Correlation". En 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.
Texto completoMichael A., Michael A., Jean-José Orteu y Hubert W. Schreier. "Digital Image Correlation (DIC)". En 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.
Texto completoGdoutos, Emmanuel E. "Digital Image Correlation (DIC)". En Solid Mechanics and Its Applications, 251–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89466-5_12.
Texto completoCristofolini, Luca. "Overview of Digital Image Correlation". En 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.
Texto completoMichael A., Michael A., Jean-José Orteu y Hubert W. Schreier. "Volumetric Digital Image Correlation (VDIC)". En 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.
Texto completoWitz, J. F., P. Lecomte-Grosbras, A. Morch, C. Martel, F. Lesaffre y M. Brieu. "Digital Image Correlation for Large Strain". En International Digital Imaging Correlation Society, 163–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_39.
Texto completoYang, Jin y Kaushik Bhattacharya. "Fast Adaptive Global Digital Image Correlation". En 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.
Texto completoActas de conferencias sobre el tema "Stereoscopic digital image correlation"
Shan, Mingguang, Bei Hu, Zhi Zhong, Lei Liu, Yongqiang Xie y Zhongbo Li. "Global estimation of underwater polarization imaging using image correlation". En 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.
Texto completoXiao, Hong, Yingxin Qin, Mingchi Feng y Kaixu Zou. "Temporal sequence Digital Image Correlation based on RNN-Conv3D". En 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM), 761–65. IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629597.
Texto completoFeng, Mingchi, Jinsong Liu y Xuehai Yuan. "An unsupervised digital image correlation method based on MaskFlownet". En 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), editado por Yunhui Liu y Zili Li, 182. SPIE, 2024. http://dx.doi.org/10.1117/12.3046983.
Texto completoEinecke, Nils y Julian Eggert. "A Two-Stage Correlation Method for Stereoscopic Depth Estimation". En 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2010. http://dx.doi.org/10.1109/dicta.2010.49.
Texto completoIkeda, Christine. "Deflections on the Bottom of a Wedge-Shaped Hull due to Slamming Loads". En SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-147.
Texto completoIkeda, Christine, Parisa Ghandehari, Felipe S. Castro, Chance R. Aucoin y Bret H. Bye. "Slamming Load Effects on the Bottom of High-Speed Aluminum Planing Craft". En SNAME 13th International Conference on Fast Sea Transportation. SNAME, 2015. http://dx.doi.org/10.5957/fast-2015-030.
Texto completoHertelé, Stijn, Timothy Galle, Koen Van Minnebruggen, Wim De Waele y Otto Jan Huising. "Experimental-Numerical Assessment of Vintage Pipe and Girth Weld With a Geometrically Complex Corrosion Feature". En 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78408.
Texto completoEastridge, Jonathan R. y Brandon M. Taravella. "An Experimental Study in the Hydroelastic Response of an Aluminum Wedge in Drop Tests". En SNAME 30th American Towing Tank Conference. SNAME, 2017. http://dx.doi.org/10.5957/attc-2017-0018.
Texto completoKim, Dong-Hak, Jeong-Hyun Lee y Ki-Ju Kang. "An Experimental Method to Measure Q-Parameter for Two Parameter Theory of Ductile Fracture". En ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41867.
Texto completoBoisson, Guillaume y Patrick Lopez. "Inter-view coding for stereoscopic Digital Cinema". En 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712282.
Texto completoInformes sobre el tema "Stereoscopic digital image correlation"
Palaviccini, Miguel, Daniel Z. Turner y Michael Herzberg. Digital Image Correlation for Performance Monitoring. Office of Scientific and Technical Information (OSTI), febrero de 2016. http://dx.doi.org/10.2172/1238316.
Texto completoTurner, Daniel Z., Richard B. Lehoucq y Carlos A. Garavito-Garzon. PDE Constrained Optimization for Digital Image Correlation. Office of Scientific and Technical Information (OSTI), octubre de 2015. http://dx.doi.org/10.2172/1494349.
Texto completoBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein et al. A Good Practices Guide for Digital Image Correlation. Editado por Elizabeth Jones y Mark Iadicola. International Digital Image Correlation Society, octubre de 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.
Texto completoBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein et al. A Good Practices Guide for Digital Image Correlation. Editado por Elizabeth Jones y Mark Iadicola. International Digital Image Correlation Society, octubre de 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.
Texto completoHall, Leslie. Digital Image Correlation of Flapping Wings for Micro-Technologies. Fort Belvoir, VA: Defense Technical Information Center, agosto de 2011. http://dx.doi.org/10.21236/ada558423.
Texto completoCasias, Zachary. High Throughput Coefficient Thermal Expansion Testing Utilizing Digital Image Correlation. Office of Scientific and Technical Information (OSTI), noviembre de 2022. http://dx.doi.org/10.2172/1898723.
Texto completoMahadevan, Sankaran, Vivek Agarwal, Binh T. Pham y Neal Kyle. Digital Image Correlation of Concrete Slab at University of Tennessee, Knoxville. Office of Scientific and Technical Information (OSTI), septiembre de 2016. http://dx.doi.org/10.2172/1364495.
Texto completoKane, Kenneth, Samuel Bell, Ben Garrison, Brandon Johnston, Nathan Capps y Kory Linton. Report Summarizing Progress in Digital Image Correlation Analysis of Burst Phenomenon. Office of Scientific and Technical Information (OSTI), marzo de 2022. http://dx.doi.org/10.2172/1865738.
Texto completoGranzow, Brian N. y Daniel Thomas Seidl. Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. Office of Scientific and Technical Information (OSTI), septiembre de 2018. http://dx.doi.org/10.2172/1474264.
Texto completoBarker, Craig, Douglas Howle, Terry Holdren, Jeffrey Koch y Raquel Ciappi. Results and Analysis from Mine Impulse Experiments Using Stereo-Digital Image Correlation. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2012. http://dx.doi.org/10.21236/ada561954.
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