Spatial computer-generated Moiré profilometry

In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhang, Hechen [verfasserIn] Cao, Yiping [verfasserIn] Li, Hongmei [verfasserIn] An, Haihua [verfasserIn] Wu, Haitao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution

Übergeordnetes Werk:	Enthalten in: Sensors and actuators / A - Amsterdam [u.a.] : Elsevier Science, 1990, 367
Übergeordnetes Werk:	volume:367

DOI / URN:	10.1016/j.sna.2024.115054

Katalog-ID:	ELV066966817

Internformat


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520			\|a In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability.
650		4	\|a 3D sensing
650		4	\|a Moiré profilometry
650		4	\|a Spatial Moiré fringe extraction
650		4	\|a Computer-generated Moiré profilometry
650		4	\|a Phase resolution
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700	1		\|a Wu, Haitao \|e verfasserin \|4 aut
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allfields	10.1016/j.sna.2024.115054 doi (DE-627)ELV066966817 (ELSEVIER)S0924-4247(24)00047-5 DE-627 ger DE-627 rda eng 530 620 VZ 50.22 bkl Zhang, Hechen verfasserin aut Spatial computer-generated Moiré profilometry 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability. 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution Cao, Yiping verfasserin aut Li, Hongmei verfasserin aut An, Haihua verfasserin aut Wu, Haitao verfasserin aut Enthalten in Sensors and actuators <Lausanne> / A Amsterdam [u.a.] : Elsevier Science, 1990 367 Online-Ressource (DE-627)306710331 (DE-600)1500729-7 (DE-576)082435847 1873-3069 nnns volume:367 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.22 Sensorik VZ AR 367
spelling	10.1016/j.sna.2024.115054 doi (DE-627)ELV066966817 (ELSEVIER)S0924-4247(24)00047-5 DE-627 ger DE-627 rda eng 530 620 VZ 50.22 bkl Zhang, Hechen verfasserin aut Spatial computer-generated Moiré profilometry 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability. 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution Cao, Yiping verfasserin aut Li, Hongmei verfasserin aut An, Haihua verfasserin aut Wu, Haitao verfasserin aut Enthalten in Sensors and actuators <Lausanne> / A Amsterdam [u.a.] : Elsevier Science, 1990 367 Online-Ressource (DE-627)306710331 (DE-600)1500729-7 (DE-576)082435847 1873-3069 nnns volume:367 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.22 Sensorik VZ AR 367
allfields_unstemmed	10.1016/j.sna.2024.115054 doi (DE-627)ELV066966817 (ELSEVIER)S0924-4247(24)00047-5 DE-627 ger DE-627 rda eng 530 620 VZ 50.22 bkl Zhang, Hechen verfasserin aut Spatial computer-generated Moiré profilometry 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability. 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution Cao, Yiping verfasserin aut Li, Hongmei verfasserin aut An, Haihua verfasserin aut Wu, Haitao verfasserin aut Enthalten in Sensors and actuators <Lausanne> / A Amsterdam [u.a.] : Elsevier Science, 1990 367 Online-Ressource (DE-627)306710331 (DE-600)1500729-7 (DE-576)082435847 1873-3069 nnns volume:367 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.22 Sensorik VZ AR 367
allfieldsGer	10.1016/j.sna.2024.115054 doi (DE-627)ELV066966817 (ELSEVIER)S0924-4247(24)00047-5 DE-627 ger DE-627 rda eng 530 620 VZ 50.22 bkl Zhang, Hechen verfasserin aut Spatial computer-generated Moiré profilometry 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability. 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution Cao, Yiping verfasserin aut Li, Hongmei verfasserin aut An, Haihua verfasserin aut Wu, Haitao verfasserin aut Enthalten in Sensors and actuators <Lausanne> / A Amsterdam [u.a.] : Elsevier Science, 1990 367 Online-Ressource (DE-627)306710331 (DE-600)1500729-7 (DE-576)082435847 1873-3069 nnns volume:367 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.22 Sensorik VZ AR 367
allfieldsSound	10.1016/j.sna.2024.115054 doi (DE-627)ELV066966817 (ELSEVIER)S0924-4247(24)00047-5 DE-627 ger DE-627 rda eng 530 620 VZ 50.22 bkl Zhang, Hechen verfasserin aut Spatial computer-generated Moiré profilometry 2024 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability. 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution Cao, Yiping verfasserin aut Li, Hongmei verfasserin aut An, Haihua verfasserin aut Wu, Haitao verfasserin aut Enthalten in Sensors and actuators <Lausanne> / A Amsterdam [u.a.] : Elsevier Science, 1990 367 Online-Ressource (DE-627)306710331 (DE-600)1500729-7 (DE-576)082435847 1873-3069 nnns volume:367 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 50.22 Sensorik VZ AR 367
language	English
source	Enthalten in Sensors and actuators <Lausanne> / A 367 volume:367
sourceStr	Enthalten in Sensors and actuators <Lausanne> / A 367 volume:367
format_phy_str_mv	Article
bklname	Sensorik
institution	findex.gbv.de
topic_facet	3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution
dewey-raw	530
isfreeaccess_bool	false
container_title	Sensors and actuators <Lausanne> / A
authorswithroles_txt_mv	Zhang, Hechen @@aut@@ Cao, Yiping @@aut@@ Li, Hongmei @@aut@@ An, Haihua @@aut@@ Wu, Haitao @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	306710331
dewey-sort	3530
id	ELV066966817
language_de	englisch
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author	Zhang, Hechen
spellingShingle	Zhang, Hechen ddc 530 bkl 50.22 misc 3D sensing misc Moiré profilometry misc Spatial Moiré fringe extraction misc Computer-generated Moiré profilometry misc Phase resolution Spatial computer-generated Moiré profilometry
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topic_title	530 620 VZ 50.22 bkl Spatial computer-generated Moiré profilometry 3D sensing Moiré profilometry Spatial Moiré fringe extraction Computer-generated Moiré profilometry Phase resolution
topic	ddc 530 bkl 50.22 misc 3D sensing misc Moiré profilometry misc Spatial Moiré fringe extraction misc Computer-generated Moiré profilometry misc Phase resolution
topic_unstemmed	ddc 530 bkl 50.22 misc 3D sensing misc Moiré profilometry misc Spatial Moiré fringe extraction misc Computer-generated Moiré profilometry misc Phase resolution
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title	Spatial computer-generated Moiré profilometry
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title_full	Spatial computer-generated Moiré profilometry
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title_sort	spatial computer-generated moiré profilometry
title_auth	Spatial computer-generated Moiré profilometry
abstract	In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability.
abstractGer	In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability.
abstract_unstemmed	In three-dimensional(3D) sensing technology based on Moiré profilometry, the extraction of Moiré fringes relying on spectrum-domain filtering operation will cause the height information loss. To solve the problem, a spatial computer-generated Moiré profilometry(SCGMP) is developed for the first time. SCGMP employs only two complementary sinusoidal deformed stripes, and extracts the alternating current(AC) component and the background component by average difference. Normalizing the AC component avoids the influence of non-uniform reflectivity, and also makes it possible to extract Moiré fringe in spatial-domain. Hilbert transform gives another π/2 phase-shifted normalized AC component. By the spatial-domain Moiré fringe extraction algorithm instead of spectrum-domain filtering, the approach ensures pure extraction of two orthogonal Moiré fringes. Experimental results demonstrate SCGMP has better accuracy and adaptability than two-shot high-accuracy computer-generated Moiré profilometry and Fourier transform profilometry. And its two-shot nature enables real-time 3D sensing capability.
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title_short	Spatial computer-generated Moiré profilometry
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author2	Cao, Yiping Li, Hongmei An, Haihua Wu, Haitao
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doi_str	10.1016/j.sna.2024.115054
up_date	2024-07-06T19:37:27.567Z
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score	7.4009924

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