{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:27:23Z","timestamp":1760149643291,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,13]],"date-time":"2023-08-13T00:00:00Z","timestamp":1691884800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52275529","2208085ME138","WK2090000039","WK2480000010"],"award-info":[{"award-number":["52275529","2208085ME138","WK2090000039","WK2480000010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003995","name":"Natural Science Foundation of Anhui Province","doi-asserted-by":"publisher","award":["52275529","2208085ME138","WK2090000039","WK2480000010"],"award-info":[{"award-number":["52275529","2208085ME138","WK2090000039","WK2480000010"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["52275529","2208085ME138","WK2090000039","WK2480000010"],"award-info":[{"award-number":["52275529","2208085ME138","WK2090000039","WK2480000010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Phase-shift profilometry (PSP) holds great promise for high-precision 3D shape measurements. However, in the case of measuring moving objects, as PSP requires multiple images to calculate the phase, the movement of the object causes artifacts in the measurement, which in turn has a significant impact on the accuracy of the 3D surface measurement. Therefore, we propose a method to reduce motion artifacts using feature information in the image and simulate it using the six-step term shift method as a case study. The simulation results show that the phase of the object is greatly affected when the object is in motion and that the phase shift due to motion can be effectively reduced using this method. Finally, artifact optimization was carried out by way of specific copper tube vibration experiments at a measurement frequency of 320 Hz. The experimental results prove that the method is well implemented.<\/jats:p>","DOI":"10.3390\/s23167147","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T11:07:10Z","timestamp":1692011230000},"page":"7147","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Dynamic 3D Measurement without Motion Artifacts Based on Feature Compensation"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2893-5919","authenticated-orcid":false,"given":"Guoce","family":"Hu","sequence":"first","affiliation":[{"name":"School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaxia","family":"Deng","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9682-7499","authenticated-orcid":false,"given":"Mengchao","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ito, T., Yoneyama, H., Akiyama, Y., Hagiwara, T., and Ezawa, S. (2023). Sensing Algorithm to Estimate Slight Displacement and Posture Change of Target from Monocular Images. Sensors, 23.","DOI":"10.3390\/s23020851"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Kartashov, O.O., Chernov, A.V., Alexandrov, A.A., Polyanichenko, D.S., Ierusalimov, V.S., Petrov, S.A., and Butakova, M.A. (2022). Machine Learning and 3D Reconstruction of Materials Surface for Nondestructive Inspection. Sensors, 22.","DOI":"10.3390\/s22166201"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.measurement.2016.03.005","article-title":"3D modeling by means of videogrammetry and laser scanners for reverse engineering","volume":"87","author":"Coll","year":"2016","journal-title":"Measurement"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2017","DOI":"10.1109\/TIP.2022.3150296","article-title":"Deep Demosaicing for Polarimetric Filter Array Cameras","volume":"31","author":"Pistellato","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.1249\/mss.0b013e318149332d","article-title":"Reliability of landing 3D motion analysis: Implications for longitudinal analyses","volume":"39","author":"Ford","year":"2007","journal-title":"Med. Sci. Sport. Exerc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/S0262-8856(02)00152-X","article-title":"A survey on industrial vision systems, applications and tools","volume":"21","author":"Malamas","year":"2003","journal-title":"Image Vis. Comput."},{"key":"ref_7","unstructured":"Kawasaki, H., Furukawa, R., Sagawa, R., and Yagi, Y. (2008, January 23\u201328). Dynamic scene shape reconstruction using a single structured light pattern. Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, USA."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2666","DOI":"10.1016\/j.patcog.2010.03.004","article-title":"A state of the art in structured light patterns for surface profilometry","volume":"43","author":"Salvi","year":"2010","journal-title":"Pattern Recognit."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1364\/JOSAA.20.000106","article-title":"Optimized two-frequency phase-measuring-profilometry light-sensor temporal-noise sensitivity","volume":"20","author":"Li","year":"2003","journal-title":"J. Opt. Soc. Am. A Opt. Image Sci. Vis."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.optlaseng.2009.03.012","article-title":"Dynamic 3-D shape measurement method: A review","volume":"48","author":"Su","year":"2010","journal-title":"Opt. Lasers Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1016\/j.optlaseng.2012.01.007","article-title":"Review of single-shot 3D shape measurement by phase calculation-based fringe projection techniques","volume":"50","author":"Zhang","year":"2012","journal-title":"Opt. Lasers Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3105","DOI":"10.1364\/AO.23.003105","article-title":"Automated phase-measuring profilometry of 3-D diffuse objects","volume":"23","author":"Srinivasan","year":"1984","journal-title":"Appl. Opt."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"106995","DOI":"10.1016\/j.optlaseng.2022.106995","article-title":"Two-frequency phase-shifting method vs. Gray-coded-based method in dynamic fringe projection profilometry: A comparative review","volume":"153","author":"Wu","year":"2022","journal-title":"Opt. Lasers Eng."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li, H., Wei, H., Liu, J., Deng, G., Zhou, S., Wang, W., He, L., and Tian, P. (2023). Fringe Projection Profilometry Based on Saturated Fringe Restoration in High Dynamic Range Scenes. Sensors, 23.","DOI":"10.3390\/s23063133"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.optlaseng.2016.01.011","article-title":"Real-time structured light profilometry: A review","volume":"87","author":"Sam","year":"2016","journal-title":"Opt. Lasers Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"111575","DOI":"10.1016\/j.measurement.2022.111575","article-title":"Accurate dynamic 3-D shape measurement based on the fringe pattern super-reconstruction technique","volume":"200","author":"Zhao","year":"2022","journal-title":"Measurement"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.optlaseng.2017.12.001","article-title":"Robust dynamic 3-D measurements with motion-compensated phase-shifting profilometry","volume":"103","author":"Feng","year":"2018","journal-title":"Opt. Lasers Eng."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ma, R., Li, J., He, K., Tang, T., Zhang, Y., and Gao, X. (2022). Application of Moire Profilometry in Three-Dimensional Profile Reconstruction of Key Parts in Railway. Sensors, 22.","DOI":"10.3390\/s22072498"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"106573","DOI":"10.1016\/j.optlaseng.2021.106573","article-title":"Motion induced error reduction methods for phase shifting profilometry: A review","volume":"141","author":"Lu","year":"2021","journal-title":"Opt. Lasers Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"9405","DOI":"10.1364\/OE.387215","article-title":"Dynamic 3-D measurement based on fringe-to-fringe transformation using deep learning","volume":"28","author":"Yu","year":"2020","journal-title":"Opt. Express"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"26882","DOI":"10.1364\/OE.403474","article-title":"Real-time 3D shape measurement with dual-frequency composite grating and motion-induced error reduction","volume":"28","author":"Guo","year":"2020","journal-title":"Opt. Express"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.yjmcc.2022.02.004","article-title":"CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel","volume":"166","author":"Midgett","year":"2022","journal-title":"J. Mol. Cell. Cardiol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"111525","DOI":"10.1016\/j.measurement.2022.111525","article-title":"Phase extraction accuracy comparison based on multi-frequency phase-shifting method in fringe projection profilometry","volume":"199","author":"Wang","year":"2022","journal-title":"Measurement"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"27975","DOI":"10.1364\/OE.427985","article-title":"Single-shot 4-step phase-shifting multispectral fringe projection profilometry","volume":"29","author":"Omidi","year":"2021","journal-title":"Opt. Express"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Tabata, S., Maruyama, M., Watanabe, Y., and Ishikawa, M. (2019). Pixelwise Phase Unwrapping Based on Ordered Periods Phase Shift. Sensors, 19.","DOI":"10.3390\/s19020377"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Li, Z., Yin, D., Yang, Y., Zhang, Q., and Gong, H. (2023). Specular Surface Shape Measurement with Orthogonal Dual-Frequency Fourier Transform Deflectometry. Sensors, 23.","DOI":"10.3390\/s23020674"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.optcom.2018.12.092","article-title":"Reconstruction of isolated moving objects with high 3D frame rate based on phase shifting profilometry","volume":"438","author":"Lu","year":"2019","journal-title":"Opt. Commun."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1109\/JSTSP.2014.2378217","article-title":"Accurate Dynamic 3D Sensing With Fourier-Assisted Phase Shifting","volume":"9","author":"Cong","year":"2015","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Weise, T., Leibe, B., and Gool, L. (2007, January 17\u201322). Fast 3D Scanning with Automatic Motion Compensation. Proceedings of the IEEE Conference on Computer Vision & Pattern Recognition, Minneapolis, MN, USA.","DOI":"10.1109\/CVPR.2007.383291"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.optlaseng.2019.05.006","article-title":"Robust phase unwrapping by probabilistic consensus","volume":"121","author":"Pistellato","year":"2019","journal-title":"Opt. Lasers Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1007\/978-3-319-23231-7_42","article-title":"Dynamic Optimal Path Selection for 3D Triangulation with Multiple Cameras","volume":"Volume 9279","author":"Pistellato","year":"2015","journal-title":"Proceedings of the Image Analysis and Processing\u2014ICIAP 2015: 18th International Conference"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"23289","DOI":"10.1364\/OE.24.023289","article-title":"Motion-induced error reduction by combining Fourier transform profilometry with phase-shifting profilometry","volume":"24","author":"Li","year":"2016","journal-title":"Opt. Express"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.optlaseng.2018.04.019","article-title":"Phase shifting algorithms for fringe projection profilometry: A review","volume":"109","author":"Zuo","year":"2018","journal-title":"Opt. Lasers Eng."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"23822","DOI":"10.1364\/OE.433831","article-title":"Real-time motion-induced error compensation for 4-step phase-shifting profilometry","volume":"29","author":"Guo","year":"2021","journal-title":"Opt. Express"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"34224","DOI":"10.1364\/OE.26.034224","article-title":"Motion induced phase error reduction using a Hilbert transform","volume":"26","author":"Wang","year":"2018","journal-title":"Opt. 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