Bibliografie tematiche / Digital image correlation

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Letteratura scientifica selezionata sul tema "Digital image correlation"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Digital image correlation"

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McCormick, Nick, and Jerry Lord. "Digital Image Correlation." Materials Today 13, no. 12 (2010): 52–54. http://dx.doi.org/10.1016/s1369-7021(10)70235-2.

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Wilson, Anthony J., Bianca C. Chin, Vivian M. Hsu, Michael N. Mirzabeigi, and Ivona Percec. "Digital Image Correlation." Plastic and Reconstructive Surgery 135, no. 5 (2015): 869e—876e. http://dx.doi.org/10.1097/prs.0000000000001224.

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Hwang, Chi Hung, Wei-Chung Wang, Yung-Hsiang Chen, and Chih-Yen Chen. "OS2-11 Multiple-Camera Semi-circular Digital Image Correlation System for Monitoring Retaining Wall(Digital image correlation and its applications (3),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 30. http://dx.doi.org/10.1299/jsmeatem.2015.14.30.

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Khaja, Abdul Aziz, and Wael A. Samad. "Hybrid Digital Image Correlation." Journal of Engineering Mechanics 146, no. 4 (2020): 04020009. http://dx.doi.org/10.1061/(asce)em.1943-7889.0001726.

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Xie, Huimin, and Yilan Kang. "Digital image correlation technique." Optics and Lasers in Engineering 65 (February 2015): 1–2. http://dx.doi.org/10.1016/j.optlaseng.2014.07.010.

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Fujimoto, Yasuhisa, Shuichi Arikawa, Riku Yoshida, Yohei Omoto, and Satoru Yoneyama. "OS2-13 Thermal Strain Measurement of Electronic Packaging Structure Using Highly Accurate Digital Image Correlation(Digital image correlation and its applications (4),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 32. http://dx.doi.org/10.1299/jsmeatem.2015.14.32.

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Arikawa, Shuichi, Riku Yoshida, Satoru Yoneyama, Yasuhisa Fujimoto, and Yohei Omoto. "OS2-12 A Method for Eliminating Periodical Error for Highly Accurate Measurement in Digital Image Correlation(Digital image correlation and its applications (4),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 31. http://dx.doi.org/10.1299/jsmeatem.2015.14.31.

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Kang, Huimin, zhende Hou, and Cheng Yue. "OS2-15 Measurement of Bending Response of Bone in an Electric Field Using Digital Image Correlation(Digital image correlation and its applications (4),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 34. http://dx.doi.org/10.1299/jsmeatem.2015.14.34.

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Karino, Keiji, and Takuma Matsuo. "OS2-9 Non-contact Deflection Measurement for Health Monitoring of Overpass by Using Digital Image Correlation Method(Digital image correlation and its applications (3),OS2 Digital image correlation and its applications,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 28. http://dx.doi.org/10.1299/jsmeatem.2015.14.28.

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Yang, J., and K. Bhattacharya. "Combining Image Compression with Digital Image Correlation." Experimental Mechanics 59, no. 5 (2019): 629–42. http://dx.doi.org/10.1007/s11340-018-00459-y.

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Tesi sul tema "Digital image correlation"

1

Mosayebi, Mahshad. "Digital Laser Speckle Image Correlation." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2131.

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This thesis examines the feasibility of combining Digital Image Correlation (DIC) with laser speckle based methods to form a new hybrid deformation measurement method called Digital Laser Speckle Image Correlation (DilSIC). Consequently, this method does not require any sample preparation and allows for the measurement of displacement of micro structures in addition to large displacements. In this technique, a coherent 30mW-632nm laser beam is expanded with 40X lens and then illuminated on the target surface to produce a fine, homogenous laser speckle pattern. Images were captured before and a
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Hartley, 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.

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Newberry, Shawn. "Laser Speckle Patterns with Digital Image Correlation." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2885.

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Digital Laser Speckle Image Correlation (DiLSIC) is a technique that utilizes a laser generated speckle pattern with Digital Image Correlation (DIC). This technology eliminates the need to apply an artifact speckle pattern to the surface of the material of interest, and produces a finer speckle pattern resulting in a more sensitive analysis. This investigation explores the parameters effecting laser speckle patterns for DIC and studies DiLSIC as a tool to measure surface strain and detect subsurface defects on pressure vessels. In this study a 632.8 nm 30 mW neon-helium laser generated the spe
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Liang, 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.

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The performance of paperboard materials in packaging application has been investigated and evaluated for a long time. This is because it plays a decisive role for product protection and decoration in packaging applications. Potential damages during transportation sometimes affect the consistency of the performance. Therefore, the capability of the material to resist these external disturbances was of interest. A multiply paperboard was chosen as the experimental material. The analysis conducted in this thesis aimed to reveal the tensile behavior in the cross-machine direction (CD) of the mater
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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.

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Shrestha, Shashi Shekhar. "Evaluation of Composite Adhesive Bonds Using Digital Image Correlation." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1648.

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Advanced composite materials are widely used for many structural applications in the aerospace/aircraft industries today. Joining of composite structures using adhesive bonding offers several advantages over traditional fastening methods. However, this technique is not yet employed for fastening the primary structures of aircrafts or space vehicles. There are several reasons for this: There are not any reliable non-destructive evaluation (NDE) methods that can quantify the strength of the bonds, and there are no certifications of quality assurance for inspecting the bond quality. Therefore, th
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Karimian, Seyed Fouad. "Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.

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Increasing use of composite materials in industry brings the need for newer and more practical methods to evaluate them. Widespread use of composite materials heavily depends on the manufacturer’s ability to unquestionably ensure its safety, given how much the user trusts them. Non-Destructive Evaluation (NDE) can be used to evaluate adhesive bondline health. This thesis employs Digital Image Correlation (DIC) method, one of the known methods in NDE, and combines it with an embedded speckle pattern in order to obtain valuable information from within the adhesive bondline. By recording the move
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Sapounas, D. "A novel approach to rotation invariant correlation." Thesis, Cranfield University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283306.

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Gubbels, Wade. "3-D Digital Image Correlation using a single color-camera." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50491.

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Digital Image Correlation (DIC) is an optical and numerical method capable of accurately providing full-field, two-dimensional (2-D) and three-dimensional (3-D) surface displacements and strains. 3-D DIC is typically done using two cameras that view the measured object from differing oblique directions. The measured images are independent and must be spatially connected using a detailed calibration procedure. This places a large demand on the practitioner, the optical equipment and the computational method. A novel approach is presented here where a single color-camera is used in place of m
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Adapa, Sujatha. "Evaluation of friction stir weld samples using digital image correlation /." Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1136092291&sid=5&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Thesis (M.S.)--Southern Illinois University Carbondale, 2006.<br>"Department of Mechanical Engineering and Energy Processes." Includes bibliographical references (leaves 70-74). Also available online.
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Libri sul tema "Digital image correlation"

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Merzkirch, Matthias. Mechanical Characterization Using Digital Image Correlation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84040-2.

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Lin, Ming-Tzer, Cosme Furlong, and Chi-Hung Hwang, eds. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59773-3.

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Cavadini, Marco. Concept and model of a multiprocessor system for high resolution image correlation. Hartung-Gorre, 1999.

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R, Matthys Donald, and United States. National Aeronautics and Space Administration., eds. Characterization of fluid flow by digital correlation of scattered light. Univ. of Alabama in Huntsville, 1989.

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Lin, Ming-Tzer, Cesar Sciammarella, Horacio D. Espinosa, et al., eds. Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30009-8.

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Lamberti, Luciano, Ming-Tzer Lin, Cosme Furlong, Cesar Sciammarella, Phillip L. Reu, and Michael A. Sutton, eds. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97481-1.

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Lin, Ming-Tzer, Cosme Furlong, Chi-Hung Hwang, Mohammad Naraghi, and Frank DelRio, eds. Advancements in Optical Methods, Digital Image Correlation & Micro-and Nanomechanics, Volume 4. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17471-1.

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Center, Langley Research, ed. Digital PIV (DPIV) software analysis system: Under contract NAS1-19505. National Aeronautics and Space Administration, Langley Research Center, 1997.

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United States. National Aeronautics and Space Administration., ed. Fuzzy interference enhanced information recovery from digital PIV using cross-correlation combined with particle tracking. National Aeronautics and Space Administration, 1995.

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Kramer, Sharlotte L. B., Rachael Tighe, Ming-Tzer Lin, Cosme Furlong, and Chi-Hung Hwang, eds. Thermomechanics & Infrared Imaging, Inverse Problem Methodologies, Mechanics of Additive & Advanced Manufactured Materials, and Advancements in Optical Methods & Digital Image Correlation, Volume 4. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86745-4.

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Capitoli di libri sul tema "Digital image correlation"

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Iskander, Magued. "Digital Image Correlation." In Modelling with Transparent Soils. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02501-3_8.

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Bornert, Michel, François Hild, Jean-José Orteu, and Stéphane Roux. "Digital Image Correlation." In Full-Field Measurements and Identification in Solid Mechanics. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118578469.ch6.

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Sause, Markus G. R. "Digital Image Correlation." In In Situ Monitoring of Fiber-Reinforced Composites. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30954-5_3.

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Michael A., Michael A., Jean-José Orteu, and Hubert W. Schreier. "Digital Image Correlation (DIC)." In Image Correlation for Shape, Motion and Deformation Measurements. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_5.

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Gdoutos, Emmanuel E. "Digital Image Correlation (DIC)." In Solid Mechanics and Its Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89466-5_12.

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Cristofolini, Luca. "Overview of Digital Image Correlation." In Springer Series in Solid and Structural Mechanics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06086-6_5.

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Michael A., Michael A., Jean-José Orteu, and Hubert W. Schreier. "Volumetric Digital Image Correlation (VDIC)." In Image Correlation for Shape, Motion and Deformation Measurements. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_8.

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Witz, J. F., P. Lecomte-Grosbras, A. Morch, C. Martel, F. Lesaffre, and M. Brieu. "Digital Image Correlation for Large Strain." In International Digital Imaging Correlation Society. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_39.

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Barrière, L., O. Cherrier, J. C. Passieux, M. Bouquet, and J. F. Ferrero. "3D Digital Image Correlation Applied to Birdstrike Tests." In International Digital Imaging Correlation Society. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_4.

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Jaminion, S., N. W. Nelson, J. P. Chambard, N. Swiergel, and F. Hild. "CorreliSTC: A Global Approach in Digital Image Correlation." In International Digital Imaging Correlation Society. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_66.

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Atti di convegni sul tema "Digital image correlation"

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Shan, Mingguang, Bei Hu, Zhi Zhong, Lei Liu, Yongqiang Xie, and Zhongbo Li. "Global estimation of underwater polarization imaging using image correlation." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.w4a.32.

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A method for global estimation of underwater polarization imaging using image correlation is proposed and some experiments are carried out to verify the feasibility and effectiveness of this approach.
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Xiao, Hong, Yingxin Qin, Mingchi Feng, and Kaixu Zou. "Temporal sequence Digital Image Correlation based on RNN-Conv3D." In 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM). IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629597.

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Feng, Mingchi, Jinsong Liu, and Xuehai Yuan. "An unsupervised digital image correlation method based on MaskFlownet." In 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), edited by Yunhui Liu and Zili Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3046983.

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Chumakov, Alexandr G., Alexandr V. Kisil, Andry V. Kovalenko, Vitalij N. Kurashov, N. G. Nakhodkin, and Dmitrij V. Podanchuk. "Optoelectronic system of digital holographic image processing." In Holography, Correlation Optics, and Recording Materials, edited by Oleg V. Angelsky. SPIE, 1993. http://dx.doi.org/10.1117/12.165403.

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Jones, Elizabeth, and Amanda Jones. "Basics of Digital Image Correlation." In Society for Experimental Mechanics (SEM) Annual Conference - Orlando,, Florida, United States of America - June - 2023. US DOE, 2023. http://dx.doi.org/10.2172/2431257.

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Siebert, Th, Th Becker, and K. Splitthof. "High Speed Digital Image Correlation Techniques." In SAE 2006 World Congress & Exhibition. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-0528.

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Milosevic, M., N. Mitrovic, and A. Sedmak. "Digital image correlation analysis of biomaterials." In 2011 15th IEEE International Conference on Intelligent Engineering Systems (INES). IEEE, 2011. http://dx.doi.org/10.1109/ines.2011.5954784.

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Felipe-Sesé, Luis, Francisca Andrés-Castro, Ángel Molina-Viedma, Elías López-Alba, and Francisco Díaz-Garrido. "Digital Image Correlation Employing Thermal Marking." In ICEM 2022. MDPI, 2022. http://dx.doi.org/10.3390/psf2022004003.

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Tehrani, Amin Darabnoush, Zahra Kohankar Kouchesfehani, and Mohammad Najafi. "Pipe Profiling Using Digital Image Correlation." In Pipelines 2020. American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483206.005.

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Rohe, Daniel, Bryan Witt, and Phillip Reu. "Modal Testing using Digital Image Correlation." In Proposed for presentation at the iDICs 2022 held November 7-10, 2022 in Boston, MA. US DOE, 2022. http://dx.doi.org/10.2172/2005957.

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Rapporti di organizzazioni sul tema "Digital image correlation"

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Palaviccini, Miguel, Daniel Z. Turner, and Michael Herzberg. Digital Image Correlation for Performance Monitoring. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1238316.

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Turner, Daniel Z., Richard B. Lehoucq, and Carlos A. Garavito-Garzon. PDE Constrained Optimization for Digital Image Correlation. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1494349.

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Bigger, Rory, Benoît Blaysat, Christofer Boo, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.

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Bigger, Rory, Benoît Blaysat, Christofer Boo, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.

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Hall, Leslie. Digital Image Correlation of Flapping Wings for Micro-Technologies. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada558423.

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Casias, Zachary. High Throughput Coefficient Thermal Expansion Testing Utilizing Digital Image Correlation. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1898723.

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Mahadevan, Sankaran, Vivek Agarwal, Binh T. Pham, and Neal Kyle. Digital Image Correlation of Concrete Slab at University of Tennessee, Knoxville. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1364495.

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Kane, Kenneth, Samuel Bell, Ben Garrison, Brandon Johnston, Nathan Capps, and Kory Linton. Report Summarizing Progress in Digital Image Correlation Analysis of Burst Phenomenon. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1865738.

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Granzow, Brian N., and Daniel Thomas Seidl. Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1474264.

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Barker, Craig, Douglas Howle, Terry Holdren, Jeffrey Koch, and Raquel Ciappi. Results and Analysis from Mine Impulse Experiments Using Stereo-Digital Image Correlation. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada561954.

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