Analysis of facial motions by means of RGB-D data

Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presen...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Luguev, T. S. [verfasserIn] Luguev, I. V.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	dynamic time warping temporal segmentation aligned cluster analysis facial motion

Anmerkung:	© Pleiades Publishing, Ltd. 2015

Übergeordnetes Werk:	Enthalten in: Pattern recognition and image analysis - Moscow : MAIK Nauka/Interperiodica Publ., 1996, 25(2015), 3 vom: Juli, Seite 466-469
Übergeordnetes Werk:	volume:25 ; year:2015 ; number:3 ; month:07 ; pages:466-469

Links:	Volltext

DOI / URN:	10.1134/S105466181503013X

Katalog-ID:	SPR020179855

Internformat


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650		4	\|a dynamic time warping \|7 (dpeaa)DE-He213
650		4	\|a temporal segmentation \|7 (dpeaa)DE-He213
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912			\|a GBV_ILN_602
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912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
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912			\|a GBV_ILN_2039
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912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
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Indexfelder

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publishDate	2015
allfields	10.1134/S105466181503013X doi (DE-627)SPR020179855 (SPR)S105466181503013X-e DE-627 ger DE-627 rakwb eng Luguev, T. S. verfasserin aut Analysis of facial motions by means of RGB-D data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213 Luguev, I. V. aut Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 25(2015), 3 vom: Juli, Seite 466-469 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:25 year:2015 number:3 month:07 pages:466-469 https://dx.doi.org/10.1134/S105466181503013X lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2015 3 07 466-469
spelling	10.1134/S105466181503013X doi (DE-627)SPR020179855 (SPR)S105466181503013X-e DE-627 ger DE-627 rakwb eng Luguev, T. S. verfasserin aut Analysis of facial motions by means of RGB-D data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213 Luguev, I. V. aut Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 25(2015), 3 vom: Juli, Seite 466-469 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:25 year:2015 number:3 month:07 pages:466-469 https://dx.doi.org/10.1134/S105466181503013X lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2015 3 07 466-469
allfields_unstemmed	10.1134/S105466181503013X doi (DE-627)SPR020179855 (SPR)S105466181503013X-e DE-627 ger DE-627 rakwb eng Luguev, T. S. verfasserin aut Analysis of facial motions by means of RGB-D data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213 Luguev, I. V. aut Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 25(2015), 3 vom: Juli, Seite 466-469 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:25 year:2015 number:3 month:07 pages:466-469 https://dx.doi.org/10.1134/S105466181503013X lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2015 3 07 466-469
allfieldsGer	10.1134/S105466181503013X doi (DE-627)SPR020179855 (SPR)S105466181503013X-e DE-627 ger DE-627 rakwb eng Luguev, T. S. verfasserin aut Analysis of facial motions by means of RGB-D data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213 Luguev, I. V. aut Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 25(2015), 3 vom: Juli, Seite 466-469 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:25 year:2015 number:3 month:07 pages:466-469 https://dx.doi.org/10.1134/S105466181503013X lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2015 3 07 466-469
allfieldsSound	10.1134/S105466181503013X doi (DE-627)SPR020179855 (SPR)S105466181503013X-e DE-627 ger DE-627 rakwb eng Luguev, T. S. verfasserin aut Analysis of facial motions by means of RGB-D data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2015 Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213 Luguev, I. V. aut Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 25(2015), 3 vom: Juli, Seite 466-469 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:25 year:2015 number:3 month:07 pages:466-469 https://dx.doi.org/10.1134/S105466181503013X lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 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_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 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_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 25 2015 3 07 466-469
language	English
source	Enthalten in Pattern recognition and image analysis 25(2015), 3 vom: Juli, Seite 466-469 volume:25 year:2015 number:3 month:07 pages:466-469
sourceStr	Enthalten in Pattern recognition and image analysis 25(2015), 3 vom: Juli, Seite 466-469 volume:25 year:2015 number:3 month:07 pages:466-469
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	dynamic time warping temporal segmentation aligned cluster analysis facial motion
isfreeaccess_bool	false
container_title	Pattern recognition and image analysis
authorswithroles_txt_mv	Luguev, T. S. @@aut@@ Luguev, I. V. @@aut@@
publishDateDaySort_date	2015-07-01T00:00:00Z
hierarchy_top_id	327148179
id	SPR020179855
language_de	englisch
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author	Luguev, T. S.
spellingShingle	Luguev, T. S. misc dynamic time warping misc temporal segmentation misc aligned cluster analysis facial motion Analysis of facial motions by means of RGB-D data
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topic_title	Analysis of facial motions by means of RGB-D data dynamic time warping (dpeaa)DE-He213 temporal segmentation (dpeaa)DE-He213 aligned cluster analysis facial motion (dpeaa)DE-He213
topic	misc dynamic time warping misc temporal segmentation misc aligned cluster analysis facial motion
topic_unstemmed	misc dynamic time warping misc temporal segmentation misc aligned cluster analysis facial motion
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title	Analysis of facial motions by means of RGB-D data
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title_full	Analysis of facial motions by means of RGB-D data
author_sort	Luguev, T. S.
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author_browse	Luguev, T. S. Luguev, I. V.
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doi_str_mv	10.1134/S105466181503013X
title_sort	analysis of facial motions by means of rgb-d data
title_auth	Analysis of facial motions by means of RGB-D data
abstract	Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. © Pleiades Publishing, Ltd. 2015
abstractGer	Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. © Pleiades Publishing, Ltd. 2015
abstract_unstemmed	Abstract A temporal segmentation procedure that considers facial expression variations is presented in this paper. It is examined whether it is possible to use the Kinect sensor for improving temporal video segmentation by using information on scene depth in addition to color information. The presented video segmentation procedure that considers the information on scene depth makes it possible to secure invariance with respect to angle and lighting. © Pleiades Publishing, Ltd. 2015
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title_short	Analysis of facial motions by means of RGB-D data
url	https://dx.doi.org/10.1134/S105466181503013X
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up_date	2024-07-03T14:23:34.721Z
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Analysis of facial motions by means of RGB-D data

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