Generalized double hough transform in the problem of estimating shape symmetries
Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Vinogradov, A. P. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2008 |
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| Schlagwörter: |
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| Anmerkung: |
© Pleiades Publishing, Ltd. 2008 |
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| Übergeordnetes Werk: |
Enthalten in: Pattern recognition and image analysis - Moscow : MAIK Nauka/Interperiodica Publ., 1996, 18(2008), 4 vom: Dez., Seite 712-715 |
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| Übergeordnetes Werk: |
volume:18 ; year:2008 ; number:4 ; month:12 ; pages:712-715 |
| Links: |
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| DOI / URN: |
10.1134/S1054661808040299 |
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| Katalog-ID: |
SPR02017313X |
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| 100 | 1 | |a Vinogradov, A. P. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Generalized double hough transform in the problem of estimating shape symmetries |
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| 520 | |a Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. | ||
| 650 | 4 | |a Proximity Measure |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Ergodic Property |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Hough Transform |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Approximate Symmetry |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Spherical Image |7 (dpeaa)DE-He213 | |
| 773 | 0 | 8 | |i Enthalten in |t Pattern recognition and image analysis |d Moscow : MAIK Nauka/Interperiodica Publ., 1996 |g 18(2008), 4 vom: Dez., Seite 712-715 |w (DE-627)327148179 |w (DE-600)2044032-7 |x 1555-6212 |7 nnns |
| 773 | 1 | 8 | |g volume:18 |g year:2008 |g number:4 |g month:12 |g pages:712-715 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1134/S1054661808040299 |z lizenzpflichtig |3 Volltext |
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10.1134/S1054661808040299 doi (DE-627)SPR02017313X (SPR)S1054661808040299-e DE-627 ger DE-627 rakwb eng Vinogradov, A. P. verfasserin aut Generalized double hough transform in the problem of estimating shape symmetries 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2008 Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. Proximity Measure (dpeaa)DE-He213 Ergodic Property (dpeaa)DE-He213 Hough Transform (dpeaa)DE-He213 Approximate Symmetry (dpeaa)DE-He213 Spherical Image (dpeaa)DE-He213 Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 18(2008), 4 vom: Dez., Seite 712-715 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:18 year:2008 number:4 month:12 pages:712-715 https://dx.doi.org/10.1134/S1054661808040299 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 18 2008 4 12 712-715 |
| spelling |
10.1134/S1054661808040299 doi (DE-627)SPR02017313X (SPR)S1054661808040299-e DE-627 ger DE-627 rakwb eng Vinogradov, A. P. verfasserin aut Generalized double hough transform in the problem of estimating shape symmetries 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2008 Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. Proximity Measure (dpeaa)DE-He213 Ergodic Property (dpeaa)DE-He213 Hough Transform (dpeaa)DE-He213 Approximate Symmetry (dpeaa)DE-He213 Spherical Image (dpeaa)DE-He213 Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 18(2008), 4 vom: Dez., Seite 712-715 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:18 year:2008 number:4 month:12 pages:712-715 https://dx.doi.org/10.1134/S1054661808040299 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 18 2008 4 12 712-715 |
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10.1134/S1054661808040299 doi (DE-627)SPR02017313X (SPR)S1054661808040299-e DE-627 ger DE-627 rakwb eng Vinogradov, A. P. verfasserin aut Generalized double hough transform in the problem of estimating shape symmetries 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2008 Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. Proximity Measure (dpeaa)DE-He213 Ergodic Property (dpeaa)DE-He213 Hough Transform (dpeaa)DE-He213 Approximate Symmetry (dpeaa)DE-He213 Spherical Image (dpeaa)DE-He213 Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 18(2008), 4 vom: Dez., Seite 712-715 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:18 year:2008 number:4 month:12 pages:712-715 https://dx.doi.org/10.1134/S1054661808040299 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 18 2008 4 12 712-715 |
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10.1134/S1054661808040299 doi (DE-627)SPR02017313X (SPR)S1054661808040299-e DE-627 ger DE-627 rakwb eng Vinogradov, A. P. verfasserin aut Generalized double hough transform in the problem of estimating shape symmetries 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2008 Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. Proximity Measure (dpeaa)DE-He213 Ergodic Property (dpeaa)DE-He213 Hough Transform (dpeaa)DE-He213 Approximate Symmetry (dpeaa)DE-He213 Spherical Image (dpeaa)DE-He213 Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 18(2008), 4 vom: Dez., Seite 712-715 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:18 year:2008 number:4 month:12 pages:712-715 https://dx.doi.org/10.1134/S1054661808040299 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 18 2008 4 12 712-715 |
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10.1134/S1054661808040299 doi (DE-627)SPR02017313X (SPR)S1054661808040299-e DE-627 ger DE-627 rakwb eng Vinogradov, A. P. verfasserin aut Generalized double hough transform in the problem of estimating shape symmetries 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Pleiades Publishing, Ltd. 2008 Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. Proximity Measure (dpeaa)DE-He213 Ergodic Property (dpeaa)DE-He213 Hough Transform (dpeaa)DE-He213 Approximate Symmetry (dpeaa)DE-He213 Spherical Image (dpeaa)DE-He213 Enthalten in Pattern recognition and image analysis Moscow : MAIK Nauka/Interperiodica Publ., 1996 18(2008), 4 vom: Dez., Seite 712-715 (DE-627)327148179 (DE-600)2044032-7 1555-6212 nnns volume:18 year:2008 number:4 month:12 pages:712-715 https://dx.doi.org/10.1134/S1054661808040299 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 18 2008 4 12 712-715 |
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Enthalten in Pattern recognition and image analysis 18(2008), 4 vom: Dez., Seite 712-715 volume:18 year:2008 number:4 month:12 pages:712-715 |
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Enthalten in Pattern recognition and image analysis 18(2008), 4 vom: Dez., Seite 712-715 volume:18 year:2008 number:4 month:12 pages:712-715 |
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Vinogradov, A. P. |
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Vinogradov, A. P. misc Proximity Measure misc Ergodic Property misc Hough Transform misc Approximate Symmetry misc Spherical Image Generalized double hough transform in the problem of estimating shape symmetries |
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generalized double hough transform in the problem of estimating shape symmetries |
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Generalized double hough transform in the problem of estimating shape symmetries |
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Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. © Pleiades Publishing, Ltd. 2008 |
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Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. © Pleiades Publishing, Ltd. 2008 |
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Abstract A sequential approach to estimating approximate symmetries of two-and three-dimensional shapes is proposed. A shape is described using a set of base k-point configurations such that the orbits of significant symmetries for each of them are found using Hough transforms fine-tuned to certain types of adjacent classes in the $ SO_{3} $ manifold. Optimal solutions are found taking into account the ergodic property of the sequential random choice. © Pleiades Publishing, Ltd. 2008 |
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