Adapting CAD models of complex engineering objects to measured point cloud data
Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state giv...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Erdős, Gábor [verfasserIn] |
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E-Artikel |
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Englisch |
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2014transfer abstract |
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4 |
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Enthalten in: A systematic review of the efficacy of prophylactic control measures for naturally occurring canine leishmaniosis. Part II: Topically applied insecticide treatments and prophylactic medications - Wylie, C.E. ELSEVIER, 2014, Paris |
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volume:63 ; year:2014 ; number:1 ; pages:157-160 ; extent:4 |
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10.1016/j.cirp.2014.03.090 |
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| 520 | |a Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. | ||
| 520 | |a Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. | ||
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10.1016/j.cirp.2014.03.090 doi GBVA2014020000003.pica (DE-627)ELV034205799 (ELSEVIER)S0007-8506(14)00093-6 DE-627 ger DE-627 rakwb eng 600 600 DE-600 630 VZ Erdős, Gábor verfasserin aut Adapting CAD models of complex engineering objects to measured point cloud data 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. Computer aided design (CAD) Elsevier Point cloud Elsevier Object recognition Elsevier Nakano, Takahiro oth Váncza, József oth Enthalten in CIRP Wylie, C.E. ELSEVIER A systematic review of the efficacy of prophylactic control measures for naturally occurring canine leishmaniosis. Part II: Topically applied insecticide treatments and prophylactic medications 2014 Paris (DE-627)ELV010083200 volume:63 year:2014 number:1 pages:157-160 extent:4 https://doi.org/10.1016/j.cirp.2014.03.090 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 63 2014 1 157-160 4 045F 600 |
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10.1016/j.cirp.2014.03.090 doi GBVA2014020000003.pica (DE-627)ELV034205799 (ELSEVIER)S0007-8506(14)00093-6 DE-627 ger DE-627 rakwb eng 600 600 DE-600 630 VZ Erdős, Gábor verfasserin aut Adapting CAD models of complex engineering objects to measured point cloud data 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. Computer aided design (CAD) Elsevier Point cloud Elsevier Object recognition Elsevier Nakano, Takahiro oth Váncza, József oth Enthalten in CIRP Wylie, C.E. ELSEVIER A systematic review of the efficacy of prophylactic control measures for naturally occurring canine leishmaniosis. Part II: Topically applied insecticide treatments and prophylactic medications 2014 Paris (DE-627)ELV010083200 volume:63 year:2014 number:1 pages:157-160 extent:4 https://doi.org/10.1016/j.cirp.2014.03.090 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 63 2014 1 157-160 4 045F 600 |
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Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. |
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Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. |
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Construction, maintenance and retrofitting of complex engineering objects like factories or plants calls for matching their model and actual state that are inevitably different. The paper presents a generic method for tailoring the computer aided design (CAD) model of such objects to their state given in terms of measured 3D, high resolution point clouds. The workflow includes efficient storage of massive measurement data, segmentation of a triangulated mesh-based CAD model into features, matching and adapting the features to the data. The method is demonstrated in a real-world setting, using the CAD model and point cloud data of an industrial plant. |
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Adapting CAD models of complex engineering objects to measured point cloud data |
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https://doi.org/10.1016/j.cirp.2014.03.090 |
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| author2 |
Nakano, Takahiro Váncza, József |
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Nakano, Takahiro Váncza, József |
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ELV010083200 |
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| doi_str |
10.1016/j.cirp.2014.03.090 |
| up_date |
2024-07-06T20:32:12.123Z |
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