3D surface reconstruction from multiview photographic images using 2D edge contours
Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full pr...
Ausführliche Beschreibung
Autor*in: |
Prakoonwit, Simant [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2012 |
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Schlagwörter: |
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Anmerkung: |
© 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 |
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Übergeordnetes Werk: |
Enthalten in: 3D Research - Berlin : Springer, 2010, 3(2012), 4 vom: 08. Dez. |
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Übergeordnetes Werk: |
volume:3 ; year:2012 ; number:4 ; day:08 ; month:12 |
Links: |
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DOI / URN: |
10.1007/3DRes.04(2012)6 |
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Katalog-ID: |
SPR03132794X |
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520 | |a Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. | ||
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10.1007/3DRes.04(2012)6 doi (DE-627)SPR03132794X (SPR)3DRes.04(2012)6-e DE-627 ger DE-627 rakwb eng Prakoonwit, Simant verfasserin aut 3D surface reconstruction from multiview photographic images using 2D edge contours 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 Benjamin, Ralph aut Enthalten in 3D Research Berlin : Springer, 2010 3(2012), 4 vom: 08. Dez. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:3 year:2012 number:4 day:08 month:12 https://dx.doi.org/10.1007/3DRes.04(2012)6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 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_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 3 2012 4 08 12 |
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10.1007/3DRes.04(2012)6 doi (DE-627)SPR03132794X (SPR)3DRes.04(2012)6-e DE-627 ger DE-627 rakwb eng Prakoonwit, Simant verfasserin aut 3D surface reconstruction from multiview photographic images using 2D edge contours 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 Benjamin, Ralph aut Enthalten in 3D Research Berlin : Springer, 2010 3(2012), 4 vom: 08. Dez. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:3 year:2012 number:4 day:08 month:12 https://dx.doi.org/10.1007/3DRes.04(2012)6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 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_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 3 2012 4 08 12 |
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10.1007/3DRes.04(2012)6 doi (DE-627)SPR03132794X (SPR)3DRes.04(2012)6-e DE-627 ger DE-627 rakwb eng Prakoonwit, Simant verfasserin aut 3D surface reconstruction from multiview photographic images using 2D edge contours 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 Benjamin, Ralph aut Enthalten in 3D Research Berlin : Springer, 2010 3(2012), 4 vom: 08. Dez. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:3 year:2012 number:4 day:08 month:12 https://dx.doi.org/10.1007/3DRes.04(2012)6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 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_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 3 2012 4 08 12 |
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10.1007/3DRes.04(2012)6 doi (DE-627)SPR03132794X (SPR)3DRes.04(2012)6-e DE-627 ger DE-627 rakwb eng Prakoonwit, Simant verfasserin aut 3D surface reconstruction from multiview photographic images using 2D edge contours 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 Benjamin, Ralph aut Enthalten in 3D Research Berlin : Springer, 2010 3(2012), 4 vom: 08. Dez. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:3 year:2012 number:4 day:08 month:12 https://dx.doi.org/10.1007/3DRes.04(2012)6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 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_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 3 2012 4 08 12 |
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10.1007/3DRes.04(2012)6 doi (DE-627)SPR03132794X (SPR)3DRes.04(2012)6-e DE-627 ger DE-627 rakwb eng Prakoonwit, Simant verfasserin aut 3D surface reconstruction from multiview photographic images using 2D edge contours 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 Benjamin, Ralph aut Enthalten in 3D Research Berlin : Springer, 2010 3(2012), 4 vom: 08. Dez. (DE-627)624823733 (DE-600)2550008-9 2092-6731 nnns volume:3 year:2012 number:4 day:08 month:12 https://dx.doi.org/10.1007/3DRes.04(2012)6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_120 GBV_ILN_266 GBV_ILN_281 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 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_4035 GBV_ILN_4037 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 AR 3 2012 4 08 12 |
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Enthalten in 3D Research 3(2012), 4 vom: 08. Dez. volume:3 year:2012 number:4 day:08 month:12 |
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Prakoonwit, Simant @@aut@@ Benjamin, Ralph @@aut@@ |
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3D surface reconstruction from multiview photographic images using 2D edge contours 3D reconstruction (dpeaa)DE-He213 apparent contour (dpeaa)DE-He213 contour generator (dpeaa)DE-He213 epipolar (dpeaa)DE-He213 multiview (dpeaa)DE-He213 space curve (dpeaa)DE-He213 surface point (dpeaa)DE-He213 wireframe (dpeaa)DE-He213 surface reconstruction (dpeaa)DE-He213 |
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3D surface reconstruction from multiview photographic images using 2D edge contours |
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Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 |
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Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 |
abstract_unstemmed |
Abstract Most techniques for reconstructing 3D shapes from multi-view 2D photographic images require a large number of images. In this paper, we present a new method for reconstructing 3D surfaces, represented by sets of polygons, using a small number, e.g. 10, of 2D photographic images with full prior knowledge of camera configurations. The method is automatic. Unlike most currently available silhouette-based multiview reconstruction methods, 3D surface points and surfaces are reconstructed directly from 2D edges without costly intermediate voxel reconstruction. The surfaces reconstructed by the proposed method are self-optimized. More surface points and polygons are automatically generated on highly curved parts of a surface. Experiments on computer generated objects and real physical objects were conducted to verify the method. © 3D Display Research Center and Springer-Verlag Berlin Heidelberg 2012 |
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3D surface reconstruction from multiview photographic images using 2D edge contours |
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score |
7.4012938 |