Hand-held 3D scanning based on coarse and fine registration of multiple range images
Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine reg...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Park, Soon-Yong [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag 2010 |
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| Übergeordnetes Werk: |
Enthalten in: Machine vision and applications - Springer-Verlag, 1988, 22(2010), 3 vom: 09. Feb., Seite 563-579 |
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| Übergeordnetes Werk: |
volume:22 ; year:2010 ; number:3 ; day:09 ; month:02 ; pages:563-579 |
| Links: |
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| DOI / URN: |
10.1007/s00138-010-0248-1 |
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OLC2074625456 |
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| 520 | |a Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. | ||
| 650 | 4 | |a Hand-held 3D scanning | |
| 650 | 4 | |a Multi-view range images | |
| 650 | 4 | |a Registration refinement | |
| 650 | 4 | |a Coarse registration | |
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| 700 | 1 | |a Moon, Jaekyoung |4 aut | |
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10.1007/s00138-010-0248-1 doi (DE-627)OLC2074625456 (DE-He213)s00138-010-0248-1-p DE-627 ger DE-627 rakwb eng 004 VZ 11 ssgn Park, Soon-Yong verfasserin aut Hand-held 3D scanning based on coarse and fine registration of multiple range images 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. Hand-held 3D scanning Multi-view range images Registration refinement Coarse registration Baek, Jaewon aut Moon, Jaekyoung aut Enthalten in Machine vision and applications Springer-Verlag, 1988 22(2010), 3 vom: 09. Feb., Seite 563-579 (DE-627)129248843 (DE-600)59385-0 (DE-576)017944139 0932-8092 nnns volume:22 year:2010 number:3 day:09 month:02 pages:563-579 https://doi.org/10.1007/s00138-010-0248-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_21 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_4277 GBV_ILN_4307 GBV_ILN_4313 AR 22 2010 3 09 02 563-579 |
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10.1007/s00138-010-0248-1 doi (DE-627)OLC2074625456 (DE-He213)s00138-010-0248-1-p DE-627 ger DE-627 rakwb eng 004 VZ 11 ssgn Park, Soon-Yong verfasserin aut Hand-held 3D scanning based on coarse and fine registration of multiple range images 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. Hand-held 3D scanning Multi-view range images Registration refinement Coarse registration Baek, Jaewon aut Moon, Jaekyoung aut Enthalten in Machine vision and applications Springer-Verlag, 1988 22(2010), 3 vom: 09. Feb., Seite 563-579 (DE-627)129248843 (DE-600)59385-0 (DE-576)017944139 0932-8092 nnns volume:22 year:2010 number:3 day:09 month:02 pages:563-579 https://doi.org/10.1007/s00138-010-0248-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_21 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_4277 GBV_ILN_4307 GBV_ILN_4313 AR 22 2010 3 09 02 563-579 |
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10.1007/s00138-010-0248-1 doi (DE-627)OLC2074625456 (DE-He213)s00138-010-0248-1-p DE-627 ger DE-627 rakwb eng 004 VZ 11 ssgn Park, Soon-Yong verfasserin aut Hand-held 3D scanning based on coarse and fine registration of multiple range images 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. Hand-held 3D scanning Multi-view range images Registration refinement Coarse registration Baek, Jaewon aut Moon, Jaekyoung aut Enthalten in Machine vision and applications Springer-Verlag, 1988 22(2010), 3 vom: 09. Feb., Seite 563-579 (DE-627)129248843 (DE-600)59385-0 (DE-576)017944139 0932-8092 nnns volume:22 year:2010 number:3 day:09 month:02 pages:563-579 https://doi.org/10.1007/s00138-010-0248-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_21 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_4277 GBV_ILN_4307 GBV_ILN_4313 AR 22 2010 3 09 02 563-579 |
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10.1007/s00138-010-0248-1 doi (DE-627)OLC2074625456 (DE-He213)s00138-010-0248-1-p DE-627 ger DE-627 rakwb eng 004 VZ 11 ssgn Park, Soon-Yong verfasserin aut Hand-held 3D scanning based on coarse and fine registration of multiple range images 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. Hand-held 3D scanning Multi-view range images Registration refinement Coarse registration Baek, Jaewon aut Moon, Jaekyoung aut Enthalten in Machine vision and applications Springer-Verlag, 1988 22(2010), 3 vom: 09. Feb., Seite 563-579 (DE-627)129248843 (DE-600)59385-0 (DE-576)017944139 0932-8092 nnns volume:22 year:2010 number:3 day:09 month:02 pages:563-579 https://doi.org/10.1007/s00138-010-0248-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_21 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_4277 GBV_ILN_4307 GBV_ILN_4313 AR 22 2010 3 09 02 563-579 |
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10.1007/s00138-010-0248-1 doi (DE-627)OLC2074625456 (DE-He213)s00138-010-0248-1-p DE-627 ger DE-627 rakwb eng 004 VZ 11 ssgn Park, Soon-Yong verfasserin aut Hand-held 3D scanning based on coarse and fine registration of multiple range images 2010 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag 2010 Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. Hand-held 3D scanning Multi-view range images Registration refinement Coarse registration Baek, Jaewon aut Moon, Jaekyoung aut Enthalten in Machine vision and applications Springer-Verlag, 1988 22(2010), 3 vom: 09. Feb., Seite 563-579 (DE-627)129248843 (DE-600)59385-0 (DE-576)017944139 0932-8092 nnns volume:22 year:2010 number:3 day:09 month:02 pages:563-579 https://doi.org/10.1007/s00138-010-0248-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_21 GBV_ILN_32 GBV_ILN_70 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_4277 GBV_ILN_4307 GBV_ILN_4313 AR 22 2010 3 09 02 563-579 |
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Hand-held 3D scanning based on coarse and fine registration of multiple range images |
| abstract |
Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. © Springer-Verlag 2010 |
| abstractGer |
Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. © Springer-Verlag 2010 |
| abstract_unstemmed |
Abstract A hand-held 3D scanning technique is proposed to reconstruct 3D models of real objects. A sequence of range images captured from a hand-held stereo camera is automatically registered to a reference coordinate system. The automated scanning process consists of two states, coarse and fine registration. At the beginning, scanning process starts at the fine registration state. A fast and accurate registration refinement technique is used to align range images in a pair-wise manner. If the refinement technique fails, the process changes to the coarse registration state. A feature-based coarse registration technique is proposed to find correspondences between the last successful frame and the current frame. If the coarse registration successes, the process returns to the fine registration state again. A fast point-to-plane refinement technique is employed to do shape-based registration. After the shape-based alignment, a texture-based refinement technique matches texture features to enhance visual appearance of the reconstructed models. Through a graphic and video display, a human operator adjusts the pose of the camera to change the view of the next acquisition. Experimental results show that 3D models of real objects are reconstructed from sequences of range images. © Springer-Verlag 2010 |
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| title_short |
Hand-held 3D scanning based on coarse and fine registration of multiple range images |
| url |
https://doi.org/10.1007/s00138-010-0248-1 |
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false |
| author2 |
Baek, Jaewon Moon, Jaekyoung |
| author2Str |
Baek, Jaewon Moon, Jaekyoung |
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| doi_str |
10.1007/s00138-010-0248-1 |
| up_date |
2024-07-03T22:53:07.929Z |
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