Matches in SemOpenAlex for { <https://semopenalex.org/work/W3168052503> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3168052503 endingPage "103169" @default.
- W3168052503 startingPage "103169" @default.
- W3168052503 abstract "Deep learning based stereo matching algorithms have produced impressive disparity estimation for recent years; and the success of them has once overshadowed the conventional ones. In this paper, we intend to reverse this inferiority, by leveraging Stacking Learning with Coalesced Cost Filtering to make the conventional algorithms achieve or even surpass the results of deep learning ones. Four classical and Discriminative Dictionary Learning (DDL) algorithms are adopted as base-models for Stacking. For the former ones, four classical stereo matching algorithms are employed and regarded as ‘Coalesced Cost Filtering Module’; for the latter supervised learning one, we utilize the Discriminative Dictionary Learning (DDL) stereo matching algorithm. Then three categories of features are extracted from the predictions of base-models to train the meta-model. For the meta-model (final classifier) of Stacking, the Random Forest (RF) classifier is selected. In addition, we also employ an advanced one-view disparity refinement strategy to compute the final refined results more efficiently. Performance evaluations on Middlebury v.2 and v.3 stereo data sets demonstrate that the proposed algorithm outperforms other four most challenging stereo matching algorithms. Besides, the submitted online results even show better results than deep learning ones." @default.
- W3168052503 created "2021-06-22" @default.
- W3168052503 creator A5019797064 @default.
- W3168052503 creator A5037518675 @default.
- W3168052503 date "2021-07-01" @default.
- W3168052503 modified "2023-10-14" @default.
- W3168052503 title "Stacking learning with coalesced cost filtering for accurate stereo matching" @default.
- W3168052503 cites W1440690237 @default.
- W3168052503 cites W1973871580 @default.
- W3168052503 cites W2004500952 @default.
- W3168052503 cites W2053635208 @default.
- W3168052503 cites W2104974755 @default.
- W3168052503 cites W2117248802 @default.
- W3168052503 cites W2123782500 @default.
- W3168052503 cites W2138051352 @default.
- W3168052503 cites W2148534289 @default.
- W3168052503 cites W2156982683 @default.
- W3168052503 cites W2168071068 @default.
- W3168052503 cites W2289083164 @default.
- W3168052503 cites W2330339889 @default.
- W3168052503 cites W2342468103 @default.
- W3168052503 cites W2622664034 @default.
- W3168052503 cites W2728277730 @default.
- W3168052503 cites W2790146046 @default.
- W3168052503 cites W2799471565 @default.
- W3168052503 cites W28412257 @default.
- W3168052503 cites W2896803871 @default.
- W3168052503 cites W2920991384 @default.
- W3168052503 cites W3105953433 @default.
- W3168052503 doi "https://doi.org/10.1016/j.jvcir.2021.103169" @default.
- W3168052503 hasPublicationYear "2021" @default.
- W3168052503 type Work @default.
- W3168052503 sameAs 3168052503 @default.
- W3168052503 citedByCount "2" @default.
- W3168052503 countsByYear W31680525032023 @default.
- W3168052503 crossrefType "journal-article" @default.
- W3168052503 hasAuthorship W3168052503A5019797064 @default.
- W3168052503 hasAuthorship W3168052503A5037518675 @default.
- W3168052503 hasConcept C105795698 @default.
- W3168052503 hasConcept C108583219 @default.
- W3168052503 hasConcept C11413529 @default.
- W3168052503 hasConcept C115961682 @default.
- W3168052503 hasConcept C119857082 @default.
- W3168052503 hasConcept C121332964 @default.
- W3168052503 hasConcept C153180895 @default.
- W3168052503 hasConcept C154945302 @default.
- W3168052503 hasConcept C165064840 @default.
- W3168052503 hasConcept C2988886741 @default.
- W3168052503 hasConcept C33347731 @default.
- W3168052503 hasConcept C33923547 @default.
- W3168052503 hasConcept C41008148 @default.
- W3168052503 hasConcept C46141821 @default.
- W3168052503 hasConcept C95623464 @default.
- W3168052503 hasConcept C97931131 @default.
- W3168052503 hasConceptScore W3168052503C105795698 @default.
- W3168052503 hasConceptScore W3168052503C108583219 @default.
- W3168052503 hasConceptScore W3168052503C11413529 @default.
- W3168052503 hasConceptScore W3168052503C115961682 @default.
- W3168052503 hasConceptScore W3168052503C119857082 @default.
- W3168052503 hasConceptScore W3168052503C121332964 @default.
- W3168052503 hasConceptScore W3168052503C153180895 @default.
- W3168052503 hasConceptScore W3168052503C154945302 @default.
- W3168052503 hasConceptScore W3168052503C165064840 @default.
- W3168052503 hasConceptScore W3168052503C2988886741 @default.
- W3168052503 hasConceptScore W3168052503C33347731 @default.
- W3168052503 hasConceptScore W3168052503C33923547 @default.
- W3168052503 hasConceptScore W3168052503C41008148 @default.
- W3168052503 hasConceptScore W3168052503C46141821 @default.
- W3168052503 hasConceptScore W3168052503C95623464 @default.
- W3168052503 hasConceptScore W3168052503C97931131 @default.
- W3168052503 hasFunder F4320321001 @default.
- W3168052503 hasLocation W31680525031 @default.
- W3168052503 hasOpenAccess W3168052503 @default.
- W3168052503 hasPrimaryLocation W31680525031 @default.
- W3168052503 hasRelatedWork W2024160000 @default.
- W3168052503 hasRelatedWork W2061273563 @default.
- W3168052503 hasRelatedWork W2285052147 @default.
- W3168052503 hasRelatedWork W2729514902 @default.
- W3168052503 hasRelatedWork W2743258233 @default.
- W3168052503 hasRelatedWork W2773500201 @default.
- W3168052503 hasRelatedWork W2998168123 @default.
- W3168052503 hasRelatedWork W3211369690 @default.
- W3168052503 hasRelatedWork W4287995534 @default.
- W3168052503 hasRelatedWork W4380075502 @default.
- W3168052503 hasVolume "78" @default.
- W3168052503 isParatext "false" @default.
- W3168052503 isRetracted "false" @default.
- W3168052503 magId "3168052503" @default.
- W3168052503 workType "article" @default.