Vision-based displacement measurement sensor using modified Taylor approximation approach
The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in many areas. A high-speed camera system is developed to realize the displacement measurement in real time. Conventional visual measurement algo...
Saved in:
| Published in | Optical engineering Vol. 55; no. 11; p. 114103 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Society of Photo-Optical Instrumentation Engineers
01.11.2016
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in many areas. A high-speed camera system is developed to realize the displacement measurement in real time. Conventional visual measurement algorithms are commonly subjected to various shortcomings, such as complex processes, multiparameter adjustments, or integer-pixel accuracy. Inspired from the combination of block-matching algorithm and simplified optical flow, a motion estimation algorithm that uses modified Taylor approximation is proposed and applied to the vision sensor system. Simplifying integer-pixel searching with a rounding-iterative operation enables the modified algorithm to rapidly accomplish one displacement extraction within 1 ms and yield satisfactory subpixel accuracy. The performance of the vision sensor is evaluated through a simulation test and two experiments on a grating ruler motion platform and a steering wheel system of a forklift. Experimental results show that the developed vision sensor can extract accurate displacement signals and accomplish the vibration measurement of engineering structures. |
|---|---|
| AbstractList | The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in many areas. A high-speed camera system is developed to realize the displacement measurement in real time. Conventional visual measurement algorithms are commonly subjected to various shortcomings, such as complex processes, multiparameter adjustments, or integer-pixel accuracy. Inspired from the combination of block-matching algorithm and simplified optical flow, a motion estimation algorithm that uses modified Taylor approximation is proposed and applied to the vision sensor system. Simplifying integer-pixel searching with a rounding-iterative operation enables the modified algorithm to rapidly accomplish one displacement extraction within 1 ms and yield satisfactory subpixel accuracy. The performance of the vision sensor is evaluated through a simulation test and two experiments on a grating ruler motion platform and a steering wheel system of a forklift. Experimental results show that the developed vision sensor can extract accurate displacement signals and accomplish the vibration measurement of engineering structures. |
| Author | Liu, Bingyou Zhu, Chang'an Guo, Jie Zhang, Dashan |
| Author_xml | – sequence: 1 givenname: Bingyou surname: Liu fullname: Liu, Bingyou organization: bAnhui Polytechnic University, Key Lab of Electric and Control of Anhui Province, Beijingzhong Road No. 8, Jiujiang District, Wuhu, AnHui 241000, China – sequence: 2 givenname: Dashan surname: Zhang fullname: Zhang, Dashan organization: aUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Huangshan Road No. 443, Shushan District, Hefei, AnHui 230027, China – sequence: 3 givenname: Jie surname: Guo fullname: Guo, Jie email: guojiegj@mail.ustc.edu.cn organization: aUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Huangshan Road No. 443, Shushan District, Hefei, AnHui 230027, China – sequence: 4 givenname: Chang'an surname: Zhu fullname: Zhu, Chang'an organization: aUniversity of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Huangshan Road No. 443, Shushan District, Hefei, AnHui 230027, China |
| BookMark | eNp9kM9KAzEQxoMo2FYfwNu-wK6ZZJPdPZbaqlCohyp4CmmS1ZT9R7IF69Mbu-KhSiEw-b6Z3zAzY3TetI1B6AZwAgDZLSSrecJYEOGlgOkZGgHjOCYU03M0wriAmJKcX6Kx91uMMSnyfIReX6y3bRNvpDc60tZ3lVSmNk0f1Ub6nRv-3jS-ddHO2-YtqlttSxvK13JfBVd2nWs_bC370GlQUr1foYtSVt5c_8QJel7M17OHeLm6f5xNl7FKcdrHoDjPGcGsIITQXEMhc2q01oZLyrkmLGOkUASrDIKZSc00Ab5JNylhkmk6QdnQV7nWe2dKoWx_GKV30lYCsPi-kACxmgvGghDDhQIJR2TnwhZuf5JJBsZ31ohtu3NNWO4ksP4P-C37tN0xc_CmrreqMk93iz_pTpf0C2EelcM |
| CitedBy_id | crossref_primary_10_1007_s13349_023_00720_6 crossref_primary_10_1016_j_measurement_2022_111062 crossref_primary_10_32604_iasc_2023_031932 crossref_primary_10_1186_s43251_023_00105_1 crossref_primary_10_1088_1742_6596_933_1_012005 crossref_primary_10_1109_JSEN_2020_2986240 crossref_primary_10_1007_s10749_021_01308_0 crossref_primary_10_1016_j_engstruct_2017_11_018 crossref_primary_10_1115_1_4046157 crossref_primary_10_1364_JOSAB_430949 crossref_primary_10_1016_j_jsv_2023_117904 crossref_primary_10_3390_s22186869 crossref_primary_10_1007_s13349_024_00812_x |
| Cites_doi | 10.1117/1.OE.54.6.067103 10.1364/OL.33.000156 10.1007/s11340-006-6124-2 10.1016/j.ymssp.2013.08.032 10.3390/s150716557 10.1117/1.OE.54.5.054103 10.1061/(ASCE)0733-9399(2008)134:6(466) 10.1177/1475921713500513 10.1117/1.3269685 10.3390/s120607326 10.1088/0964-1726/12/5/016 10.1109/JSEN.2013.2273309 10.1117/1.OE.51.2.020501 10.1111/str.12039 10.1117/1.OE.54.6.063107 10.1117/1.OE.54.2.024102 10.1016/j.ymssp.2013.10.024 10.1016/j.measurement.2014.09.063 10.1016/j.ymssp.2004.09.008 10.3390/s130912329 10.1016/j.ymssp.2015.06.004 10.1364/AO.47.000583 10.1364/AO.54.008198 10.1117/1.3159871 10.1007/BF02412146 10.1016/j.ndteint.2010.06.009 10.1177/1475921714522841 10.1117/1.OE.51.7.070901 10.1016/j.ymssp.2013.01.009 10.1016/j.isprsjprs.2014.11.006 10.1016/j.optlaseng.2004.05.010 10.1016/j.measurement.2012.10.021 10.1016/j.ymssp.2013.10.005 10.1016/j.cviu.2005.07.006 10.1115/1.4000070 10.1088/0957-0233/17/6/045 10.1016/j.ndteint.2004.06.012 10.1117/1.3497058 10.1109/ICASSP.2010.5495054 |
| ContentType | Journal Article |
| Copyright | The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
| Copyright_xml | – notice: The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
| DBID | AAYXX CITATION |
| DOI | 10.1117/1.OE.55.11.114103 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Visual Arts Engineering Physics |
| EISSN | 1560-2303 |
| EndPage | 114103 |
| ExternalDocumentID | 10_1117_1_OE_55_11_114103 |
| GrantInformation_xml | – fundername: Key Project of Natural Science by Education Department of Anhui Province grantid: KJ2015A316 – fundername: Outstanding Young Talents at Home Visit the School Training Project grantid: gxfxZD2016101 |
| GroupedDBID | 02 0R 123 29N AAPBV ABFLS ABPTK ABTRL ACGFS AENEX ALMA_UNASSIGNED_HOLDINGS CS3 DU5 EBS EJD F5P FQ0 HZ M4W M4X NU. O9- P2P RNS SPBNH TAE TWZ UCJ UT2 WH7 X -~X .DC 0R~ 4.4 AAYXX ABJNI ACGFO ADMLS AKROS CITATION HZ~ P-S XJE ~02 |
| ID | FETCH-LOGICAL-c404t-1c6685205922238d19a83eddde6a366d257529c20c71dde7ad5d216b4b425a5d3 |
| ISSN | 0091-3286 |
| IngestDate | Tue Jul 01 02:47:08 EDT 2025 Thu Apr 24 23:10:54 EDT 2025 Fri May 31 16:22:07 EDT 2019 Fri Jan 15 20:10:29 EST 2021 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 11 |
| Keywords | noncontact measurement high-speed vision sensor subpixel accuracy vibration analysis machine vision |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c404t-1c6685205922238d19a83eddde6a366d257529c20c71dde7ad5d216b4b425a5d3 |
| OpenAccessLink | http://www.dx.doi.org/10.1117/1.OE.55.11.114103 |
| PageCount | 1 |
| ParticipantIDs | spie_journals_10_1117_1_OE_55_11_114103 crossref_citationtrail_10_1117_1_OE_55_11_114103 crossref_primary_10_1117_1_OE_55_11_114103 |
| ProviderPackageCode | FQ0 SPBNH UT2 CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2016-11-01 |
| PublicationDateYYYYMMDD | 2016-11-01 |
| PublicationDate_xml | – month: 11 year: 2016 text: 2016-11-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Optical engineering |
| PublicationTitleAlternate | Opt. Eng |
| PublicationYear | 2016 |
| Publisher | Society of Photo-Optical Instrumentation Engineers |
| Publisher_xml | – name: Society of Photo-Optical Instrumentation Engineers |
| References | Jurjo, D. L. B. R. 2006; 20 Cheli, F. 2013; 38 Morlier, J.; Michon, G. 2010; 132 Song, Y. 2014; 13 Lee, J. J.; Ho, H. N.; Lee, J. H. 2012; 12 Li, L. 2015; 101 Wahbeh, A. M. 2003; 12 Nassif, H. H. 2005; 38 Wang, H. 2009; 48 Jaume-i-Capo, A. 2012; 51 Quan, C. 2008; 47 Wu, T. 2014; 42 Aharoni, R. 2015; 54 Park, H. S. 2013; 13 Lei, X. 2015; 54 Park, J. W. 2010; 43 Valin, J. L. 2005; 43 Fukuda, Y. 2013; 13 You, D.; Gao, X.; Katayama, S. 2014; 49 Guizar-Sicairos, M.; Thurman, S. T.; Fienup, J. R. 2008; 33 Shao, Y.; Guo, Y.; Gao, C. 2015; 54 Filatov, Y. V. 2015; 54 Lee, J. J.; Shinozuka, M. 2006; 46 Bing, P. 2006; 17 Guo, J. 2015; 66 Kim, S. W. 2013; 12 Ji, Y.; Chang, C. 2008; 134 Zhang, Z.; Wang, R. 2009; 48 Park, S. W. 2015; 59 Ko, B.; Kwak, S. 2012; 51 Trigo, F. C. 2014; 43 Arai, Y. 2015; 54 Feng, D. 2015; 15 Tong, W. 2013; 49 Zhang, Y. 2002; 42 Figueroa, P. J.; Leite, N. J.; Barros, R. M. L. 2006; 101 Sadek, J. 2013; 46 Yang, U. 2010; 49 r2 r3 r4 r5 r6 r7 r8 r9 r30 r10 r32 r31 r12 r34 r11 r33 r14 r36 r13 r35 r16 r38 r15 r37 r18 r17 r39 r19 r41 r21 r20 r23 r22 r25 Bell (r27) 2012 Fleet (r40) 2006 r24 r26 r29 r28 r1 |
| References_xml | – volume: 54 start-page: 067103 issue: 6 year: 2015 article-title: Real-time stand-off spatial detection and identification of gases and vapor using external-cavity quantum cascade laser open-path spectrometer publication-title: Opt. Eng. doi: 10.1117/1.OE.54.6.067103 – volume: 33 start-page: 156 issn: 0146-9592 year: 2008 end-page: 158 article-title: Efficient subpixel image registration algorithms publication-title: Opt. Lett. doi: 10.1364/OL.33.000156 – volume: 46 start-page: 105 issn: 0014-4851 year: 2006 end-page: 114 article-title: Real-time displacement measurement of a flexible bridge using digital image processing techniques publication-title: Exp. Mech. doi: 10.1007/s11340-006-6124-2 – volume: 42 start-page: 404 year: 2014 end-page: 414 article-title: Full-life dynamic identification of wear state based on on-line wear debris image features publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2013.08.032 – volume: 15 start-page: 16557 issn: 0746-9462 year: 2015 end-page: 16575 article-title: A vision based sensor for noncontact structural displacement measurement publication-title: Sensors doi: 10.3390/s150716557 – volume: 54 start-page: 054103 issue: 5 year: 2015 article-title: Noncontact measurement of angular position and angular movement by means of laser goniometer publication-title: Opt. Eng. doi: 10.1117/1.OE.54.5.054103 – volume: 134 start-page: 466 issn: 0733-9399 year: 2008 end-page: 474 article-title: Nontarget stereo vision technique for spatiotemporal response measurement of line-like structure publication-title: J. Eng. Mech. doi: 10.1061/(ASCE)0733-9399(2008)134:6(466) – volume: 12 start-page: 440 year: 2013 end-page: 456 article-title: Vision based monitoring system for evaluating cable tensile forces on a cable-stayed bridge publication-title: Struct. Health Monit. An Int. J. doi: 10.1177/1475921713500513 – volume: 48 start-page: 127201 issue: 2 year: 2009 article-title: Vision-based vehicle detection and tracking algorithm design publication-title: Opt. Eng. doi: 10.1117/1.3269685 – volume: 12 start-page: 7326 issn: 0746-9462 year: 2012 end-page: 7336 article-title: A vision-based dynamic rotational angle measurement system for large civil structures publication-title: Sensors doi: 10.3390/s120607326 – volume: 12 start-page: 785 issn: 0964-1726 year: 2003 end-page: 794 article-title: A vision-based approach for the direct measurement of displacements in vibrating systems publication-title: Smart Mater. Struct. doi: 10.1088/0964-1726/12/5/016 – volume: 13 start-page: 4725 issn: 1530-437X year: 2013 end-page: 4732 article-title: Vision-based displacement sensor for monitoring dynamic response using robust object search algorithm publication-title: IEEE Sensors J. doi: 10.1109/JSEN.2013.2273309 – volume: 51 start-page: 020501 issue: 2 year: 2012 article-title: Automatic human body modeling for vision-based motion capture system using B-spline parameterization of the silhouette publication-title: Opt. Eng. doi: 10.1117/1.OE.51.2.020501 – volume: 49 start-page: 313 year: 2013 end-page: 334 article-title: Formulation of Lucas-Kanade digital image correlation algorithms for noncontact deformation measurements: a review publication-title: Strain doi: 10.1111/str.12039 – volume: 54 start-page: 063107 issue: 6 year: 2015 article-title: Human action recognition using motion energy template publication-title: Opt. Eng. doi: 10.1117/1.OE.54.6.063107 – volume: 54 start-page: 024102 issue: 2 year: 2015 article-title: Development of in-plane and out-of-plane deformations simultaneous measurement method for the analysis of buckling publication-title: Opt. Eng. doi: 10.1117/1.OE.54.2.024102 – volume: 49 start-page: 39 year: 2014 end-page: 52 article-title: Monitoring of high power laser welding using high-speed photographing and image processing publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2013.10.024 – volume: 59 start-page: 352 issn: 0263-2241 year: 2015 end-page: 362 article-title: 3D displacement measurement model for health monitoring of structures using a motion capture system publication-title: Measurement doi: 10.1016/j.measurement.2014.09.063 – volume: 20 start-page: 1112 year: 2006 end-page: 1133 article-title: Experimental methodology for the dynamic analysis of slender structures based on digital image processing techniques publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2004.09.008 – volume: 13 start-page: 12329 issn: 0746-9462 year: 2013 end-page: 12344 article-title: A new position measurement system using a motion-capture camera for wind tunnel tests publication-title: Sensors doi: 10.3390/s130912329 – volume: 66 start-page: 425 year: 2015 end-page: 436 article-title: Dynamic displacement measurement of large scale structures based on the Lucas-Kanade template tracking algorithm publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2015.06.004 – volume: 47 start-page: 583 issn: 0003-6935 year: 2008 end-page: 593 article-title: Determination of three-dimensional displacement using two-dimensional digital image correlation publication-title: Appl. Opt. doi: 10.1364/AO.47.000583 – volume: 54 start-page: 8198 issn: 0003-6935 year: 2015 end-page: 8206 article-title: Vibration extraction based on fast NCC algorithm and high-speed camera publication-title: Appl. Opt. doi: 10.1364/AO.54.008198 – volume: 48 start-page: 077005 issue: 7 year: 2009 article-title: Robust image super resolution method to handle localized motion outliers publication-title: Opt. Eng. doi: 10.1117/1.3159871 – volume: 42 start-page: 409 issn: 0014-4851 year: 2002 end-page: 416 article-title: Application of the Fourier transform in electronic speckle photography publication-title: Exp. Mech. doi: 10.1007/BF02412146 – volume: 43 start-page: 642 year: 2010 end-page: 647 article-title: Vision based displacement measurement method for high-rise building structures using partitioning approach publication-title: NDT&E Int. doi: 10.1016/j.ndteint.2010.06.009 – volume: 13 start-page: 251 year: 2014 end-page: 264 article-title: Virtual visual sensors and their application in structural health monitoring publication-title: Struct. Health Monit. An Int. J. doi: 10.1177/1475921714522841 – volume: 51 start-page: 070901 issue: 7 year: 2012 article-title: Survey of computer vision-based natural disaster warning systems machine vision and applications publication-title: Opt. Eng. doi: 10.1117/1.OE.51.7.070901 – volume: 38 start-page: 399 year: 2013 end-page: 410 article-title: Vision-based measuring system for rider's pose estimation during motorcycle riding publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2013.01.009 – volume: 101 start-page: 10 year: 2015 end-page: 21 article-title: Subpixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization publication-title: J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2014.11.006 – volume: 43 start-page: 99 issn: 0030-3992 year: 2005 end-page: 111 article-title: Methodology for analysis of displacement using digital holography publication-title: Opt. Laser Technol. doi: 10.1016/j.optlaseng.2004.05.010 – volume: 46 start-page: 1237 issn: 0263-2241 year: 2013 end-page: 1249 article-title: Development of a vision based deflection measurement system and its accuracy assessment publication-title: Measurement doi: 10.1016/j.measurement.2012.10.021 – volume: 43 start-page: 124 year: 2014 end-page: 140 article-title: Identification of a scaled-model riser dynamics through a combined computer vision and adaptive Kalman filter approach publication-title: Mech. Syst. Signal Process. doi: 10.1016/j.ymssp.2013.10.005 – volume: 101 start-page: 122 issn: 1077-3142 year: 2006 end-page: 135 article-title: Tracking soccer players aiming their kinematical motion analysis publication-title: Comput. Vis. Image Understanding doi: 10.1016/j.cviu.2005.07.006 – volume: 132 start-page: 011003 issn: 0022-0434 year: 2010 article-title: Virtual vibration measurement using KLT motion tracking algorithm publication-title: J. Dyn. Syst. Meas. Control doi: 10.1115/1.4000070 – volume: 17 start-page: 1615 issn: 0957-0233 year: 2006 end-page: 1621 article-title: Performance of sub-pixel registration algorithms in digital image correlation publication-title: Meas. Sci. Technol. doi: 10.1088/0957-0233/17/6/045 – volume: 38 start-page: 213 year: 2005 end-page: 218 article-title: Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration publication-title: NDT&E Int. doi: 10.1016/j.ndteint.2004.06.012 – volume: 49 start-page: 107004 issue: 10 year: 2010 article-title: Illumination-invariant color space and its application to skin-color detection publication-title: Opt. Eng. doi: 10.1117/1.3497058 – ident: r14 doi: 10.1016/j.ymssp.2013.10.005 – ident: r3 doi: 10.1016/j.ndteint.2004.06.012 – ident: r37 doi: 10.1117/1.3159871 – ident: r7 doi: 10.1117/1.OE.54.5.054103 – ident: r10 doi: 10.1016/j.cviu.2005.07.006 – ident: r20 doi: 10.1016/j.measurement.2012.10.021 – ident: r19 doi: 10.3390/s130912329 – ident: r4 doi: 10.1061/(ASCE)0733-9399(2008)134:6(466) – ident: r17 doi: 10.1117/1.3497058 – ident: r21 doi: 10.1115/1.4000070 – ident: r28 doi: 10.1111/str.12039 – ident: r34 doi: 10.1007/s11340-006-6124-2 – ident: r18 doi: 10.3390/s120607326 – ident: r5 doi: 10.1016/j.ymssp.2004.09.008 – ident: r22 doi: 10.1117/1.OE.51.7.070901 – ident: r36 doi: 10.1088/0957-0233/17/6/045 – ident: r2 doi: 10.1016/j.optlaseng.2004.05.010 – ident: r31 doi: 10.1109/JSEN.2013.2273309 – ident: r33 doi: 10.1364/OL.33.000156 – ident: r6 doi: 10.1016/j.ymssp.2013.08.032 – ident: r15 doi: 10.1016/j.ymssp.2015.06.004 – start-page: 330 year: 2012 ident: r27 article-title: Bridge condition assessment using digital image correlation and structural modeling – ident: r39 doi: 10.1109/ICASSP.2010.5495054 – ident: r12 doi: 10.1016/j.ymssp.2013.01.009 – ident: r9 doi: 10.1117/1.OE.54.2.024102 – ident: r25 doi: 10.1364/AO.47.000583 – ident: r30 doi: 10.1088/0964-1726/12/5/016 – ident: r23 doi: 10.1117/1.3269685 – ident: r11 doi: 10.1117/1.OE.54.6.067103 – ident: r26 doi: 10.1177/1475921713500513 – ident: r32 doi: 10.3390/s150716557 – ident: r24 doi: 10.1117/1.OE.51.2.020501 – ident: r35 doi: 10.1016/j.ymssp.2013.10.024 – ident: r1 doi: 10.1007/BF02412146 – ident: r13 doi: 10.1117/1.OE.54.6.063107 – ident: r16 doi: 10.1177/1475921714522841 – ident: r8 doi: 10.1016/j.measurement.2014.09.063 – ident: r41 doi: 10.1364/AO.54.008198 – ident: r29 doi: 10.1016/j.ndteint.2010.06.009 – ident: r38 doi: 10.1016/j.isprsjprs.2014.11.006 – start-page: 239 year: 2006 ident: r40 |
| SSID | ssj0002988 |
| Score | 2.253681 |
| Snippet | The development of image sensors and optics lenses has contributed to the rapidly increasing use of vision-based methods as noncontact measurement methods in... |
| SourceID | crossref spie |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 114103 |
| Title | Vision-based displacement measurement sensor using modified Taylor approximation approach |
| URI | http://www.dx.doi.org/10.1117/1.OE.55.11.114103 |
| Volume | 55 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELdKJyR4QDBAbHzID0hITCmxE7vp40Q7BqIUiQ2NpyixEy0SbSLSSGN_En8l548kLh3T4CVKLpeP9n72nc_nXxB6mYLLk2EOLU3I3AtZSr2J70tPKvY0Bv6Y68-3zT_x49Pwwxk7Gwx-OVVLzTodicsr15X8j1VBBnZVq2T_wbLdTUEA-2Bf2IKFYXsjG3_VC8M95YmkmmrRBVZ6dn_Zp_4Oahiplj8OGp0VWJayyFXYaYbqhlP8ojALGDuGcTdkXVQm3Z31zIVdFU_RaHyA6GfZbOWgp0l93oPvXWMmeYqsV2zsjL_SH1tVm4Ig3K7F61KQtr5UFe2dl-vSa1_svSbBXdpFVKuOYtFNQ0K84gW0pcO2nTD3PRgaBW4vbch8WzQSp88lqlQ1cDx4L7jCP2iGgdFiNmIMDkfuxRu022ZwNI5JvJjFjMFBbHRvoR0KQxLoU3cOp_OPXzq_TyeR8fv2F9k5dLjJm60HbkRBw7oqMieqObmP7tnhCD402HqABtlqF911SCp30W1dJCxqkAPeGqNdP0TfXPRhF33YQR826MMafbhFHzbowxvowy36HqHTo9nJ22PPfqjDE6Efrj0iOI8YhUhdRZuRJJMkCjIJnpMnAecS3AKjE0F9MSYgHCeSSUp4GqbgMRImg8douCpX2ROEAxZO8oTkqZ-yMCc09SPB1V5CmaBJvof89o-LhWWxVx9T-R7_1WB76HV3SWUoXK5TfqWsEdtWXl-nOd_U7M5fFtWfylpmbfl5erR1upL5_o2f_BTd6VvhMzSENpY9h9B4nb6wmPwNLuq0UA |
| linkProvider | EBSCOhost |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Vision-based+displacement+measurement+sensor+using+modified+Taylor+approximation+approach&rft.jtitle=Optical+engineering&rft.au=Liu%2C+Bingyou&rft.au=Zhang%2C+Dashan&rft.au=Guo%2C+Jie&rft.au=Zhu%2C+Chang%27an&rft.date=2016-11-01&rft.pub=Society+of+Photo-Optical+Instrumentation+Engineers&rft.issn=0091-3286&rft.eissn=1560-2303&rft.volume=55&rft.issue=11&rft.spage=114103&rft.epage=114103&rft_id=info:doi/10.1117%2F1.OE.55.11.114103&rft.externalDocID=10_1117_1_OE_55_11_114103 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0091-3286&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0091-3286&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0091-3286&client=summon |