Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316372020> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4316372020 endingPage "1111" @default.
- W4316372020 startingPage "1111" @default.
- W4316372020 abstract "The Perspective-n-Point problem is usually addressed by means of a projective imaging model of 3D points, but the spatial distribution and quantity of 3D reference points vary, making it difficult for the Perspective-n-Point algorithm to balance accuracy, robustness, and computational efficiency. To address this issue, this paper introduces Hidden PnP, a hidden variable method. Following the parameterization of the rotation matrix by CGR parameters, the method, unlike the existing best matrix synthesis technique (Gröbner technology), does not require construction of a larger matrix elimination template in the polynomial solution phase. Therefore, it is able to solve CGR parameter rapidly, and achieve an accurate location of the solution using the Gauss–Newton method. According to the synthetic data test, the PnP algorithm solution, based on hidden variables, outperforms the existing best Perspective-n-Point method in accuracy and robustness, under cases of Ordinary 3D, Planar Case, and Quasi-Singular. Furthermore, its computational efficiency can be up to seven times that of existing excellent algorithms when the spatially redundant reference points are increased to 500. In physical experiments on pose reprojection from monocular cameras, this algorithm even showed higher accuracy than the best existing algorithm." @default.
- W4316372020 created "2023-01-16" @default.
- W4316372020 creator A5005550458 @default.
- W4316372020 creator A5013736647 @default.
- W4316372020 creator A5059361825 @default.
- W4316372020 creator A5061336404 @default.
- W4316372020 creator A5061974539 @default.
- W4316372020 date "2023-01-13" @default.
- W4316372020 modified "2023-10-01" @default.
- W4316372020 title "An Accurate, Efficient, and Stable Perspective-n-Point Algorithm in 3D Space" @default.
- W4316372020 cites W1984667320 @default.
- W4316372020 cites W1991544872 @default.
- W4316372020 cites W2044863727 @default.
- W4316372020 cites W2046335473 @default.
- W4316372020 cites W2085261163 @default.
- W4316372020 cites W2096758544 @default.
- W4316372020 cites W2121349631 @default.
- W4316372020 cites W2134003526 @default.
- W4316372020 cites W2142482451 @default.
- W4316372020 cites W2162440713 @default.
- W4316372020 cites W2165919662 @default.
- W4316372020 cites W2167667767 @default.
- W4316372020 cites W2177478906 @default.
- W4316372020 cites W2346429068 @default.
- W4316372020 cites W2791057468 @default.
- W4316372020 cites W594531022 @default.
- W4316372020 doi "https://doi.org/10.3390/app13021111" @default.
- W4316372020 hasPublicationYear "2023" @default.
- W4316372020 type Work @default.
- W4316372020 citedByCount "0" @default.
- W4316372020 crossrefType "journal-article" @default.
- W4316372020 hasAuthorship W4316372020A5005550458 @default.
- W4316372020 hasAuthorship W4316372020A5013736647 @default.
- W4316372020 hasAuthorship W4316372020A5059361825 @default.
- W4316372020 hasAuthorship W4316372020A5061336404 @default.
- W4316372020 hasAuthorship W4316372020A5061974539 @default.
- W4316372020 hasBestOaLocation W43163720201 @default.
- W4316372020 hasConcept C104317684 @default.
- W4316372020 hasConcept C11413529 @default.
- W4316372020 hasConcept C126255220 @default.
- W4316372020 hasConcept C12713177 @default.
- W4316372020 hasConcept C154945302 @default.
- W4316372020 hasConcept C185592680 @default.
- W4316372020 hasConcept C33923547 @default.
- W4316372020 hasConcept C41008148 @default.
- W4316372020 hasConcept C55493867 @default.
- W4316372020 hasConcept C63479239 @default.
- W4316372020 hasConceptScore W4316372020C104317684 @default.
- W4316372020 hasConceptScore W4316372020C11413529 @default.
- W4316372020 hasConceptScore W4316372020C126255220 @default.
- W4316372020 hasConceptScore W4316372020C12713177 @default.
- W4316372020 hasConceptScore W4316372020C154945302 @default.
- W4316372020 hasConceptScore W4316372020C185592680 @default.
- W4316372020 hasConceptScore W4316372020C33923547 @default.
- W4316372020 hasConceptScore W4316372020C41008148 @default.
- W4316372020 hasConceptScore W4316372020C55493867 @default.
- W4316372020 hasConceptScore W4316372020C63479239 @default.
- W4316372020 hasIssue "2" @default.
- W4316372020 hasLocation W43163720201 @default.
- W4316372020 hasOpenAccess W4316372020 @default.
- W4316372020 hasPrimaryLocation W43163720201 @default.
- W4316372020 hasRelatedWork W1997381757 @default.
- W4316372020 hasRelatedWork W2045234626 @default.
- W4316372020 hasRelatedWork W2074852250 @default.
- W4316372020 hasRelatedWork W2081388382 @default.
- W4316372020 hasRelatedWork W2371305098 @default.
- W4316372020 hasRelatedWork W2386767533 @default.
- W4316372020 hasRelatedWork W4283311345 @default.
- W4316372020 hasRelatedWork W4323262350 @default.
- W4316372020 hasRelatedWork W4362509612 @default.
- W4316372020 hasRelatedWork W2115871702 @default.
- W4316372020 hasVolume "13" @default.
- W4316372020 isParatext "false" @default.
- W4316372020 isRetracted "false" @default.
- W4316372020 workType "article" @default.