Matches in SemOpenAlex for { <https://semopenalex.org/work/W2981296445> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2981296445 abstract "Reconstruction of 3-D images from 2-D images is an essential problem in vision systems. Circular features represent one of the most common quadratic-curved features, which have been presented for 3-D reconstruction such as machined features in aerospace and electronics industries. The circular features may deviate from their nominal geometric properties due to potential machining errors. In this paper, a robot-based 3-D machine vision method is developed to perform the 3-D reconstruction of machined circular features with the goal of automatically inspecting and reconstructing 3-D objects using machine vision. An innovative algorithm is developed for estimating the normal vector of a circular machined feature on a free-form surface and reconstructing a 3-D surface profile with the machined circular feature using multi-dimensional data fusion. The surface between the projected 2-D circular feature and the identified 3-D surface profilometry is reconstructed via extrapolation by NURBS surface fitting. Some experimental results were successfully demonstrated that the proposed method is both accurate and effective." @default.
- W2981296445 created "2019-10-25" @default.
- W2981296445 creator A5008794345 @default.
- W2981296445 creator A5041012778 @default.
- W2981296445 creator A5065990014 @default.
- W2981296445 date "2019-07-01" @default.
- W2981296445 modified "2023-09-27" @default.
- W2981296445 title "Robot-based 3-D machine vision using circular-feature normal estimation and multi-dimensional image fusion *" @default.
- W2981296445 cites W1485855073 @default.
- W2981296445 cites W1977568622 @default.
- W2981296445 cites W1993982396 @default.
- W2981296445 cites W2015440410 @default.
- W2981296445 cites W2058482653 @default.
- W2981296445 cites W2116140730 @default.
- W2981296445 cites W2117083552 @default.
- W2981296445 cites W2119222995 @default.
- W2981296445 cites W2136363227 @default.
- W2981296445 cites W2516500947 @default.
- W2981296445 cites W2609997009 @default.
- W2981296445 doi "https://doi.org/10.1109/aim.2019.8868699" @default.
- W2981296445 hasPublicationYear "2019" @default.
- W2981296445 type Work @default.
- W2981296445 sameAs 2981296445 @default.
- W2981296445 citedByCount "1" @default.
- W2981296445 countsByYear W29812964452021 @default.
- W2981296445 crossrefType "proceedings-article" @default.
- W2981296445 hasAuthorship W2981296445A5008794345 @default.
- W2981296445 hasAuthorship W2981296445A5041012778 @default.
- W2981296445 hasAuthorship W2981296445A5065990014 @default.
- W2981296445 hasConcept C115961682 @default.
- W2981296445 hasConcept C138885662 @default.
- W2981296445 hasConcept C153180895 @default.
- W2981296445 hasConcept C154945302 @default.
- W2981296445 hasConcept C158525013 @default.
- W2981296445 hasConcept C19966478 @default.
- W2981296445 hasConcept C2776401178 @default.
- W2981296445 hasConcept C2983761899 @default.
- W2981296445 hasConcept C31972630 @default.
- W2981296445 hasConcept C41008148 @default.
- W2981296445 hasConcept C41895202 @default.
- W2981296445 hasConcept C52102323 @default.
- W2981296445 hasConcept C52622490 @default.
- W2981296445 hasConcept C5339829 @default.
- W2981296445 hasConcept C69744172 @default.
- W2981296445 hasConcept C90509273 @default.
- W2981296445 hasConceptScore W2981296445C115961682 @default.
- W2981296445 hasConceptScore W2981296445C138885662 @default.
- W2981296445 hasConceptScore W2981296445C153180895 @default.
- W2981296445 hasConceptScore W2981296445C154945302 @default.
- W2981296445 hasConceptScore W2981296445C158525013 @default.
- W2981296445 hasConceptScore W2981296445C19966478 @default.
- W2981296445 hasConceptScore W2981296445C2776401178 @default.
- W2981296445 hasConceptScore W2981296445C2983761899 @default.
- W2981296445 hasConceptScore W2981296445C31972630 @default.
- W2981296445 hasConceptScore W2981296445C41008148 @default.
- W2981296445 hasConceptScore W2981296445C41895202 @default.
- W2981296445 hasConceptScore W2981296445C52102323 @default.
- W2981296445 hasConceptScore W2981296445C52622490 @default.
- W2981296445 hasConceptScore W2981296445C5339829 @default.
- W2981296445 hasConceptScore W2981296445C69744172 @default.
- W2981296445 hasConceptScore W2981296445C90509273 @default.
- W2981296445 hasLocation W29812964451 @default.
- W2981296445 hasOpenAccess W2981296445 @default.
- W2981296445 hasPrimaryLocation W29812964451 @default.
- W2981296445 hasRelatedWork W1975958833 @default.
- W2981296445 hasRelatedWork W2102575890 @default.
- W2981296445 hasRelatedWork W2382607599 @default.
- W2981296445 hasRelatedWork W2544359817 @default.
- W2981296445 hasRelatedWork W2544717973 @default.
- W2981296445 hasRelatedWork W2556085923 @default.
- W2981296445 hasRelatedWork W2736638679 @default.
- W2981296445 hasRelatedWork W2901776837 @default.
- W2981296445 hasRelatedWork W2972219788 @default.
- W2981296445 hasRelatedWork W4306804934 @default.
- W2981296445 isParatext "false" @default.
- W2981296445 isRetracted "false" @default.
- W2981296445 magId "2981296445" @default.
- W2981296445 workType "article" @default.