Point set registration based on feature point constraints

Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, suc...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Li, Mai [verfasserIn] Zhang, Mingxuan [verfasserIn] Niu, Dongmei [verfasserIn] Hassan, Muhammad Umair [verfasserIn] Zhao, Xiuyang [verfasserIn] Li, Na [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	Computer graphics Point set registration Point-based models Volumetric registration

Übergeordnetes Werk:	Enthalten in: The visual computer - Berlin : Springer, 1985, 36(2019), 9 vom: 29. Okt., Seite 1725-1738
Übergeordnetes Werk:	volume:36 ; year:2019 ; number:9 ; day:29 ; month:10 ; pages:1725-1738

Links:	Volltext

DOI / URN:	10.1007/s00371-019-01771-x

Katalog-ID:	SPR040561151

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520			\|a Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms.
650		4	\|a Computer graphics \|7 (dpeaa)DE-He213
650		4	\|a Point set registration \|7 (dpeaa)DE-He213
650		4	\|a Point-based models \|7 (dpeaa)DE-He213
650		4	\|a Volumetric registration \|7 (dpeaa)DE-He213
700	1		\|a Zhang, Mingxuan \|e verfasserin \|4 aut
700	1		\|a Niu, Dongmei \|e verfasserin \|4 aut
700	1		\|a Hassan, Muhammad Umair \|e verfasserin \|4 aut
700	1		\|a Zhao, Xiuyang \|e verfasserin \|4 aut
700	1		\|a Li, Na \|e verfasserin \|4 aut
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allfields	10.1007/s00371-019-01771-x doi (DE-627)SPR040561151 (SPR)s00371-019-01771-x-e DE-627 ger DE-627 rakwb eng 004 ASE 54.73 bkl Li, Mai verfasserin aut Point set registration based on feature point constraints 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms. Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213 Zhang, Mingxuan verfasserin aut Niu, Dongmei verfasserin aut Hassan, Muhammad Umair verfasserin aut Zhao, Xiuyang verfasserin aut Li, Na verfasserin aut Enthalten in The visual computer Berlin : Springer, 1985 36(2019), 9 vom: 29. Okt., Seite 1725-1738 (DE-627)254910734 (DE-600)1463287-1 1432-2315 nnns volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738 https://dx.doi.org/10.1007/s00371-019-01771-x 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_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_267 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.73 ASE AR 36 2019 9 29 10 1725-1738
spelling	10.1007/s00371-019-01771-x doi (DE-627)SPR040561151 (SPR)s00371-019-01771-x-e DE-627 ger DE-627 rakwb eng 004 ASE 54.73 bkl Li, Mai verfasserin aut Point set registration based on feature point constraints 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms. Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213 Zhang, Mingxuan verfasserin aut Niu, Dongmei verfasserin aut Hassan, Muhammad Umair verfasserin aut Zhao, Xiuyang verfasserin aut Li, Na verfasserin aut Enthalten in The visual computer Berlin : Springer, 1985 36(2019), 9 vom: 29. Okt., Seite 1725-1738 (DE-627)254910734 (DE-600)1463287-1 1432-2315 nnns volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738 https://dx.doi.org/10.1007/s00371-019-01771-x 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_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_267 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.73 ASE AR 36 2019 9 29 10 1725-1738
allfields_unstemmed	10.1007/s00371-019-01771-x doi (DE-627)SPR040561151 (SPR)s00371-019-01771-x-e DE-627 ger DE-627 rakwb eng 004 ASE 54.73 bkl Li, Mai verfasserin aut Point set registration based on feature point constraints 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms. Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213 Zhang, Mingxuan verfasserin aut Niu, Dongmei verfasserin aut Hassan, Muhammad Umair verfasserin aut Zhao, Xiuyang verfasserin aut Li, Na verfasserin aut Enthalten in The visual computer Berlin : Springer, 1985 36(2019), 9 vom: 29. Okt., Seite 1725-1738 (DE-627)254910734 (DE-600)1463287-1 1432-2315 nnns volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738 https://dx.doi.org/10.1007/s00371-019-01771-x 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_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_267 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.73 ASE AR 36 2019 9 29 10 1725-1738
allfieldsGer	10.1007/s00371-019-01771-x doi (DE-627)SPR040561151 (SPR)s00371-019-01771-x-e DE-627 ger DE-627 rakwb eng 004 ASE 54.73 bkl Li, Mai verfasserin aut Point set registration based on feature point constraints 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms. Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213 Zhang, Mingxuan verfasserin aut Niu, Dongmei verfasserin aut Hassan, Muhammad Umair verfasserin aut Zhao, Xiuyang verfasserin aut Li, Na verfasserin aut Enthalten in The visual computer Berlin : Springer, 1985 36(2019), 9 vom: 29. Okt., Seite 1725-1738 (DE-627)254910734 (DE-600)1463287-1 1432-2315 nnns volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738 https://dx.doi.org/10.1007/s00371-019-01771-x 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_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_267 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.73 ASE AR 36 2019 9 29 10 1725-1738
allfieldsSound	10.1007/s00371-019-01771-x doi (DE-627)SPR040561151 (SPR)s00371-019-01771-x-e DE-627 ger DE-627 rakwb eng 004 ASE 54.73 bkl Li, Mai verfasserin aut Point set registration based on feature point constraints 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms. Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213 Zhang, Mingxuan verfasserin aut Niu, Dongmei verfasserin aut Hassan, Muhammad Umair verfasserin aut Zhao, Xiuyang verfasserin aut Li, Na verfasserin aut Enthalten in The visual computer Berlin : Springer, 1985 36(2019), 9 vom: 29. Okt., Seite 1725-1738 (DE-627)254910734 (DE-600)1463287-1 1432-2315 nnns volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738 https://dx.doi.org/10.1007/s00371-019-01771-x 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_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_267 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.73 ASE AR 36 2019 9 29 10 1725-1738
language	English
source	Enthalten in The visual computer 36(2019), 9 vom: 29. Okt., Seite 1725-1738 volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738
sourceStr	Enthalten in The visual computer 36(2019), 9 vom: 29. Okt., Seite 1725-1738 volume:36 year:2019 number:9 day:29 month:10 pages:1725-1738
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Computer graphics Point set registration Point-based models Volumetric registration
dewey-raw	004
isfreeaccess_bool	false
container_title	The visual computer
authorswithroles_txt_mv	Li, Mai @@aut@@ Zhang, Mingxuan @@aut@@ Niu, Dongmei @@aut@@ Hassan, Muhammad Umair @@aut@@ Zhao, Xiuyang @@aut@@ Li, Na @@aut@@
publishDateDaySort_date	2019-10-29T00:00:00Z
hierarchy_top_id	254910734
dewey-sort	14
id	SPR040561151
language_de	englisch
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author	Li, Mai
spellingShingle	Li, Mai ddc 004 bkl 54.73 misc Computer graphics misc Point set registration misc Point-based models misc Volumetric registration Point set registration based on feature point constraints
authorStr	Li, Mai
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topic_title	004 ASE 54.73 bkl Point set registration based on feature point constraints Computer graphics (dpeaa)DE-He213 Point set registration (dpeaa)DE-He213 Point-based models (dpeaa)DE-He213 Volumetric registration (dpeaa)DE-He213
topic	ddc 004 bkl 54.73 misc Computer graphics misc Point set registration misc Point-based models misc Volumetric registration
topic_unstemmed	ddc 004 bkl 54.73 misc Computer graphics misc Point set registration misc Point-based models misc Volumetric registration
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title	Point set registration based on feature point constraints
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title_full	Point set registration based on feature point constraints
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author_browse	Li, Mai Zhang, Mingxuan Niu, Dongmei Hassan, Muhammad Umair Zhao, Xiuyang Li, Na
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title_sort	point set registration based on feature point constraints
title_auth	Point set registration based on feature point constraints
abstract	Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms.
abstractGer	Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms.
abstract_unstemmed	Abstract Point set registration is a fundamental task in computer graphics. We present a novel volumetric registration method for three-dimensional solid shapes. The input data include a pair of three-dimensional point sets: a point set of a complete bone and another one from an incomplete bone, such as a hand bone with a hole in the wrist. We achieve the registration by deforming the complete model toward the incomplete model in the guidance of feature point constraints. Our method first performs an initial alignment owing to given data in an arbitrary position, orientation and scale, and then performs a volumetric registration that utilizes as much volumetric information as possible. Our solution is more adaptive to different sceneries such as the volume data have foramen, outlier and hole, and more accurate in comparison with both state-of-the-art rigid and non-rigid registration algorithms.
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container_issue	9
title_short	Point set registration based on feature point constraints
url	https://dx.doi.org/10.1007/s00371-019-01771-x
remote_bool	true
author2	Zhang, Mingxuan Niu, Dongmei Hassan, Muhammad Umair Zhao, Xiuyang Li, Na
author2Str	Zhang, Mingxuan Niu, Dongmei Hassan, Muhammad Umair Zhao, Xiuyang Li, Na
ppnlink	254910734
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isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s00371-019-01771-x
up_date	2024-07-03T16:47:56.140Z
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