Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313391911> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4313391911 endingPage "514" @default.
- W4313391911 startingPage "514" @default.
- W4313391911 abstract "Stereo matching is the operation of obtaining the parallax value between two images by matching all the corresponding image points in the two images, thus obtaining the dense parallax image between the two images. How to obtain accurate disparity images has always been a key point in the field of stereo vision. Presently, in the research of 3D reconstruction technology based on binocular stereo vision, the main research direction of domestic and foreign scholars is to improve the efficiency and accuracy of stereo matching, and there is research literature on soft tissues. This paper proposes an improved stereo matching algorithm based on joint similarity measures and adaptive weights. The algorithm improves the matching cost calculation based on the joint similarity measure to fit the color image of the heart soft tissue. At the same time, the algorithm uses the idea of graph cutting to improve the adaptive weight. The experimental results show that both the improved joint similarity measure and the improved adaptive weight can effectively reduce the mismatch rate. In addition, the corresponding matching effect is better than using only one of the improved joint similarity measures." @default.
- W4313391911 created "2023-01-06" @default.
- W4313391911 creator A5000683189 @default.
- W4313391911 creator A5013464460 @default.
- W4313391911 creator A5014425439 @default.
- W4313391911 creator A5021201289 @default.
- W4313391911 creator A5023971713 @default.
- W4313391911 creator A5036398299 @default.
- W4313391911 creator A5062384828 @default.
- W4313391911 date "2022-12-30" @default.
- W4313391911 modified "2023-10-06" @default.
- W4313391911 title "An Improved Stereo Matching Algorithm Based on Joint Similarity Measure and Adaptive Weights" @default.
- W4313391911 cites W1973830096 @default.
- W4313391911 cites W2054536235 @default.
- W4313391911 cites W2083911216 @default.
- W4313391911 cites W2085175870 @default.
- W4313391911 cites W2112305557 @default.
- W4313391911 cites W2117248802 @default.
- W4313391911 cites W2124386111 @default.
- W4313391911 cites W2129692244 @default.
- W4313391911 cites W2143516773 @default.
- W4313391911 cites W2146994533 @default.
- W4313391911 cites W2151103935 @default.
- W4313391911 cites W2168485536 @default.
- W4313391911 cites W2177274842 @default.
- W4313391911 cites W2193969413 @default.
- W4313391911 cites W2520908690 @default.
- W4313391911 cites W3213647282 @default.
- W4313391911 cites W4200207888 @default.
- W4313391911 cites W4213412721 @default.
- W4313391911 doi "https://doi.org/10.3390/app13010514" @default.
- W4313391911 hasPublicationYear "2022" @default.
- W4313391911 type Work @default.
- W4313391911 citedByCount "19" @default.
- W4313391911 countsByYear W43133919112023 @default.
- W4313391911 crossrefType "journal-article" @default.
- W4313391911 hasAuthorship W4313391911A5000683189 @default.
- W4313391911 hasAuthorship W4313391911A5013464460 @default.
- W4313391911 hasAuthorship W4313391911A5014425439 @default.
- W4313391911 hasAuthorship W4313391911A5021201289 @default.
- W4313391911 hasAuthorship W4313391911A5023971713 @default.
- W4313391911 hasAuthorship W4313391911A5036398299 @default.
- W4313391911 hasAuthorship W4313391911A5062384828 @default.
- W4313391911 hasBestOaLocation W43133919111 @default.
- W4313391911 hasConcept C103278499 @default.
- W4313391911 hasConcept C105795698 @default.
- W4313391911 hasConcept C115961682 @default.
- W4313391911 hasConcept C127413603 @default.
- W4313391911 hasConcept C153180895 @default.
- W4313391911 hasConcept C154945302 @default.
- W4313391911 hasConcept C15759828 @default.
- W4313391911 hasConcept C165064840 @default.
- W4313391911 hasConcept C170154142 @default.
- W4313391911 hasConcept C18555067 @default.
- W4313391911 hasConcept C2776517306 @default.
- W4313391911 hasConcept C31972630 @default.
- W4313391911 hasConcept C33923547 @default.
- W4313391911 hasConcept C41008148 @default.
- W4313391911 hasConcept C61455927 @default.
- W4313391911 hasConceptScore W4313391911C103278499 @default.
- W4313391911 hasConceptScore W4313391911C105795698 @default.
- W4313391911 hasConceptScore W4313391911C115961682 @default.
- W4313391911 hasConceptScore W4313391911C127413603 @default.
- W4313391911 hasConceptScore W4313391911C153180895 @default.
- W4313391911 hasConceptScore W4313391911C154945302 @default.
- W4313391911 hasConceptScore W4313391911C15759828 @default.
- W4313391911 hasConceptScore W4313391911C165064840 @default.
- W4313391911 hasConceptScore W4313391911C170154142 @default.
- W4313391911 hasConceptScore W4313391911C18555067 @default.
- W4313391911 hasConceptScore W4313391911C2776517306 @default.
- W4313391911 hasConceptScore W4313391911C31972630 @default.
- W4313391911 hasConceptScore W4313391911C33923547 @default.
- W4313391911 hasConceptScore W4313391911C41008148 @default.
- W4313391911 hasConceptScore W4313391911C61455927 @default.
- W4313391911 hasIssue "1" @default.
- W4313391911 hasLocation W43133919111 @default.
- W4313391911 hasOpenAccess W4313391911 @default.
- W4313391911 hasPrimaryLocation W43133919111 @default.
- W4313391911 hasRelatedWork W1957820763 @default.
- W4313391911 hasRelatedWork W1964961128 @default.
- W4313391911 hasRelatedWork W1996433254 @default.
- W4313391911 hasRelatedWork W2086942199 @default.
- W4313391911 hasRelatedWork W2089177779 @default.
- W4313391911 hasRelatedWork W2102326570 @default.
- W4313391911 hasRelatedWork W2400870671 @default.
- W4313391911 hasRelatedWork W2403006732 @default.
- W4313391911 hasRelatedWork W2970414448 @default.
- W4313391911 hasRelatedWork W4200575008 @default.
- W4313391911 hasVolume "13" @default.
- W4313391911 isParatext "false" @default.
- W4313391911 isRetracted "false" @default.
- W4313391911 workType "article" @default.