Variational optic flow on the Sony PlayStation 3

Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, n...
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Autor*in:	Gwosdek, Pascal [verfasserIn] Bruhn, Andrés Weickert, Joachim

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	Optic flow Cell Processor Multigrid Variational approach Parallel computing

Anmerkung:	© Springer-Verlag 2009

Übergeordnetes Werk:	Enthalten in: Journal of real-time image processing - Berlin : Springer, 2006, 5(2009), 3 vom: 02. Okt., Seite 163-177
Übergeordnetes Werk:	volume:5 ; year:2009 ; number:3 ; day:02 ; month:10 ; pages:163-177

Links:	Volltext

DOI / URN:	10.1007/s11554-009-0132-2

Katalog-ID:	SPR020733909

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520			\|a Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second.
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matchkey_str	article:18618219:2009----::aitoaotclwnhsnp
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publishDate	2009
allfields	10.1007/s11554-009-0132-2 doi (DE-627)SPR020733909 (SPR)s11554-009-0132-2-e DE-627 ger DE-627 rakwb eng Gwosdek, Pascal verfasserin aut Variational optic flow on the Sony PlayStation 3 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2009 Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213 Bruhn, Andrés aut Weickert, Joachim aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 5(2009), 3 vom: 02. Okt., Seite 163-177 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:5 year:2009 number:3 day:02 month:10 pages:163-177 https://dx.doi.org/10.1007/s11554-009-0132-2 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_101 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_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 5 2009 3 02 10 163-177
spelling	10.1007/s11554-009-0132-2 doi (DE-627)SPR020733909 (SPR)s11554-009-0132-2-e DE-627 ger DE-627 rakwb eng Gwosdek, Pascal verfasserin aut Variational optic flow on the Sony PlayStation 3 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2009 Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213 Bruhn, Andrés aut Weickert, Joachim aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 5(2009), 3 vom: 02. Okt., Seite 163-177 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:5 year:2009 number:3 day:02 month:10 pages:163-177 https://dx.doi.org/10.1007/s11554-009-0132-2 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_101 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_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 5 2009 3 02 10 163-177
allfields_unstemmed	10.1007/s11554-009-0132-2 doi (DE-627)SPR020733909 (SPR)s11554-009-0132-2-e DE-627 ger DE-627 rakwb eng Gwosdek, Pascal verfasserin aut Variational optic flow on the Sony PlayStation 3 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2009 Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213 Bruhn, Andrés aut Weickert, Joachim aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 5(2009), 3 vom: 02. Okt., Seite 163-177 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:5 year:2009 number:3 day:02 month:10 pages:163-177 https://dx.doi.org/10.1007/s11554-009-0132-2 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_101 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_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 5 2009 3 02 10 163-177
allfieldsGer	10.1007/s11554-009-0132-2 doi (DE-627)SPR020733909 (SPR)s11554-009-0132-2-e DE-627 ger DE-627 rakwb eng Gwosdek, Pascal verfasserin aut Variational optic flow on the Sony PlayStation 3 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2009 Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213 Bruhn, Andrés aut Weickert, Joachim aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 5(2009), 3 vom: 02. Okt., Seite 163-177 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:5 year:2009 number:3 day:02 month:10 pages:163-177 https://dx.doi.org/10.1007/s11554-009-0132-2 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_101 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_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 5 2009 3 02 10 163-177
allfieldsSound	10.1007/s11554-009-0132-2 doi (DE-627)SPR020733909 (SPR)s11554-009-0132-2-e DE-627 ger DE-627 rakwb eng Gwosdek, Pascal verfasserin aut Variational optic flow on the Sony PlayStation 3 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2009 Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213 Bruhn, Andrés aut Weickert, Joachim aut Enthalten in Journal of real-time image processing Berlin : Springer, 2006 5(2009), 3 vom: 02. Okt., Seite 163-177 (DE-627)52836118X (DE-600)2280192-3 1861-8219 nnns volume:5 year:2009 number:3 day:02 month:10 pages:163-177 https://dx.doi.org/10.1007/s11554-009-0132-2 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_101 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_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 5 2009 3 02 10 163-177
language	English
source	Enthalten in Journal of real-time image processing 5(2009), 3 vom: 02. Okt., Seite 163-177 volume:5 year:2009 number:3 day:02 month:10 pages:163-177
sourceStr	Enthalten in Journal of real-time image processing 5(2009), 3 vom: 02. Okt., Seite 163-177 volume:5 year:2009 number:3 day:02 month:10 pages:163-177
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Optic flow Cell Processor Multigrid Variational approach Parallel computing
isfreeaccess_bool	false
container_title	Journal of real-time image processing
authorswithroles_txt_mv	Gwosdek, Pascal @@aut@@ Bruhn, Andrés @@aut@@ Weickert, Joachim @@aut@@
publishDateDaySort_date	2009-10-02T00:00:00Z
hierarchy_top_id	52836118X
id	SPR020733909
language_de	englisch
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author	Gwosdek, Pascal
spellingShingle	Gwosdek, Pascal misc Optic flow misc Cell Processor misc Multigrid misc Variational approach misc Parallel computing Variational optic flow on the Sony PlayStation 3
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topic_title	Variational optic flow on the Sony PlayStation 3 Optic flow (dpeaa)DE-He213 Cell Processor (dpeaa)DE-He213 Multigrid (dpeaa)DE-He213 Variational approach (dpeaa)DE-He213 Parallel computing (dpeaa)DE-He213
topic	misc Optic flow misc Cell Processor misc Multigrid misc Variational approach misc Parallel computing
topic_unstemmed	misc Optic flow misc Cell Processor misc Multigrid misc Variational approach misc Parallel computing
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title	Variational optic flow on the Sony PlayStation 3
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title_full	Variational optic flow on the Sony PlayStation 3
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title_sort	variational optic flow on the sony playstation 3
title_auth	Variational optic flow on the Sony PlayStation 3
abstract	Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. © Springer-Verlag 2009
abstractGer	Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. © Springer-Verlag 2009
abstract_unstemmed	Abstract While modern variational methods for optic flow computation offer dense flow fields and highly accurate results, their computational complexity has prevented their use in many real-time applications. With cheap modern parallel hardware such as the Cell Processor of the Sony PlayStation 3, new possibilities arise. For a linear and a nonlinear variant of the popular combined local-global method, we present specific algorithms on this architecture that are tailored towards real-time performance. They are based on bidirectional full multigrid methods with a full approximation scheme in the nonlinear setting. Their parallel design on the Cell hardware uses a temporal instead of a spatial decomposition, and processes operations in a vector-based manner. Memory latencies are reduced by a locality-preserving cache management and optimised access patterns. For images of size 316 × 252 pixels, we obtain dense flow fields for up to 210 frames per second. © Springer-Verlag 2009
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title_short	Variational optic flow on the Sony PlayStation 3
url	https://dx.doi.org/10.1007/s11554-009-0132-2
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up_date	2024-07-03T17:56:00.386Z
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Variational optic flow on the Sony PlayStation 3

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