Matches in SemOpenAlex for { <https://semopenalex.org/work/W2899347923> ?p ?o ?g. }
Showing items 1 to 50 of
50
with 100 items per page.
- W2899347923 abstract "In view of the problem of low accuracy and poor stability of 3D space registration in mobile augmented reality, an improved registration method based on LMeds (Least Median Squares) is proposed in this paper. The method first uses the ORB (Oriented FAST and Rotated BRIEF) algorithm to carry out the feature detection, and the FREAK (Fast Retina Key-point) algorithm is employed to describe the features. Then the feature points are screened by the hamming distance. In order to obtain good matching points, the Sampson distance estimation is introduced in the LMeds algorithm. By eliminating the mismatch points in time to reduce the cumulative number of calculation cost functions, it not only maintains the good robustness of the LMeds algorithm, but also effectively reduces the computational complexity of the algorithm. Finally, camera pose estimation is conducted to get the absolute attitude of video image relative to the identified image, so as to enhance the scene. Experimental results show that this method improves the precision of feature matching and the accuracy of 3D registration, and also has good real-time performance and robustness when environment changes." @default.
- W2899347923 created "2018-11-09" @default.
- W2899347923 creator A5056175730 @default.
- W2899347923 creator A5063933166 @default.
- W2899347923 creator A5067569759 @default.
- W2899347923 creator A5068215520 @default.
- W2899347923 date "2018-08-01" @default.
- W2899347923 modified "2023-09-26" @default.
- W2899347923 title "Augmented Reality Registration Method Based on Improved LMeds" @default.
- W2899347923 cites W1986525613 @default.
- W2899347923 cites W2321619735 @default.
- W2899347923 cites W2603195173 @default.
- W2899347923 doi "https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00039" @default.
- W2899347923 hasPublicationYear "2018" @default.
- W2899347923 type Work @default.
- W2899347923 sameAs 2899347923 @default.
- W2899347923 citedByCount "1" @default.
- W2899347923 countsByYear W28993479232022 @default.
- W2899347923 crossrefType "proceedings-article" @default.
- W2899347923 hasAuthorship W2899347923A5056175730 @default.
- W2899347923 hasAuthorship W2899347923A5063933166 @default.
- W2899347923 hasAuthorship W2899347923A5067569759 @default.
- W2899347923 hasAuthorship W2899347923A5068215520 @default.
- W2899347923 hasConcept C121684516 @default.
- W2899347923 hasConcept C153715457 @default.
- W2899347923 hasConcept C154945302 @default.
- W2899347923 hasConcept C31972630 @default.
- W2899347923 hasConcept C41008148 @default.
- W2899347923 hasConceptScore W2899347923C121684516 @default.
- W2899347923 hasConceptScore W2899347923C153715457 @default.
- W2899347923 hasConceptScore W2899347923C154945302 @default.
- W2899347923 hasConceptScore W2899347923C31972630 @default.
- W2899347923 hasConceptScore W2899347923C41008148 @default.
- W2899347923 hasLocation W28993479231 @default.
- W2899347923 hasOpenAccess W2899347923 @default.
- W2899347923 hasPrimaryLocation W28993479231 @default.
- W2899347923 hasRelatedWork W1972291043 @default.
- W2899347923 hasRelatedWork W1979149155 @default.
- W2899347923 hasRelatedWork W1982719376 @default.
- W2899347923 hasRelatedWork W2099596012 @default.
- W2899347923 hasRelatedWork W2117712085 @default.
- W2899347923 hasRelatedWork W2125175058 @default.
- W2899347923 hasRelatedWork W2404729837 @default.
- W2899347923 hasRelatedWork W2463720136 @default.
- W2899347923 hasRelatedWork W2537141224 @default.
- W2899347923 hasRelatedWork W2889211182 @default.
- W2899347923 isParatext "false" @default.
- W2899347923 isRetracted "false" @default.
- W2899347923 magId "2899347923" @default.
- W2899347923 workType "article" @default.