Matches in SemOpenAlex for { <https://semopenalex.org/work/W2511779840> ?p ?o ?g. }
- W2511779840 abstract "Keypoint detection and description in a continuous scale space achieves better robustness to scale change than those in a discretized scale space. State-of-the-art methods first decompose a continuous scale space into M + 1 component images weighted by M-order polynomials of scale σ, and then reconstruct the value at an arbitrary point in the scale space by a linear combination of the component images. However, these methods create the mismatch that, if σ is large, common filter kernels such as Gaussian converge to zero; but the polynomials of σ diverge. This paper presents a more efficient approximation that suppresses this mismatch by normalizing the weighting functions. Experiments show that the proposed method achieves higher performance tradeoff than state-of-the-art methods: it reduces the number of component images and total running time by 20–40% without a sacrifice of stability in keypoints detection." @default.
- W2511779840 created "2016-09-16" @default.
- W2511779840 creator A5066452160 @default.
- W2511779840 creator A5073040221 @default.
- W2511779840 creator A5075192946 @default.
- W2511779840 date "2016-09-01" @default.
- W2511779840 modified "2023-10-14" @default.
- W2511779840 title "Efficient keypoint detection and description using filter kernel decomposition in scale space" @default.
- W2511779840 cites W1596812151 @default.
- W2511779840 cites W1995266040 @default.
- W2511779840 cites W2000356541 @default.
- W2511779840 cites W2019085623 @default.
- W2511779840 cites W2048710758 @default.
- W2511779840 cites W2083209089 @default.
- W2511779840 cites W2093418626 @default.
- W2511779840 cites W2112328181 @default.
- W2511779840 cites W2115678526 @default.
- W2511779840 cites W2117228865 @default.
- W2511779840 cites W2118767963 @default.
- W2511779840 cites W2119605622 @default.
- W2511779840 cites W2124386111 @default.
- W2511779840 cites W2128017662 @default.
- W2511779840 cites W2141584146 @default.
- W2511779840 cites W2143425433 @default.
- W2511779840 cites W2145072179 @default.
- W2511779840 cites W2151103935 @default.
- W2511779840 cites W2170282673 @default.
- W2511779840 cites W2172188317 @default.
- W2511779840 cites W2177274842 @default.
- W2511779840 cites W2402761276 @default.
- W2511779840 cites W2536680313 @default.
- W2511779840 cites W2913429812 @default.
- W2511779840 doi "https://doi.org/10.1109/icip.2016.7532313" @default.
- W2511779840 hasPublicationYear "2016" @default.
- W2511779840 type Work @default.
- W2511779840 sameAs 2511779840 @default.
- W2511779840 citedByCount "2" @default.
- W2511779840 countsByYear W25117798402018 @default.
- W2511779840 countsByYear W25117798402020 @default.
- W2511779840 crossrefType "proceedings-article" @default.
- W2511779840 hasAuthorship W2511779840A5066452160 @default.
- W2511779840 hasAuthorship W2511779840A5073040221 @default.
- W2511779840 hasAuthorship W2511779840A5075192946 @default.
- W2511779840 hasConcept C104317684 @default.
- W2511779840 hasConcept C11413529 @default.
- W2511779840 hasConcept C115961682 @default.
- W2511779840 hasConcept C118615104 @default.
- W2511779840 hasConcept C121332964 @default.
- W2511779840 hasConcept C126838900 @default.
- W2511779840 hasConcept C134306372 @default.
- W2511779840 hasConcept C153180895 @default.
- W2511779840 hasConcept C154945302 @default.
- W2511779840 hasConcept C163716315 @default.
- W2511779840 hasConcept C183115368 @default.
- W2511779840 hasConcept C185592680 @default.
- W2511779840 hasConcept C22789450 @default.
- W2511779840 hasConcept C2778755073 @default.
- W2511779840 hasConcept C33923547 @default.
- W2511779840 hasConcept C41008148 @default.
- W2511779840 hasConcept C55493867 @default.
- W2511779840 hasConcept C62520636 @default.
- W2511779840 hasConcept C63479239 @default.
- W2511779840 hasConcept C71924100 @default.
- W2511779840 hasConcept C7218915 @default.
- W2511779840 hasConcept C73000952 @default.
- W2511779840 hasConcept C74193536 @default.
- W2511779840 hasConcept C9417928 @default.
- W2511779840 hasConcept C99102927 @default.
- W2511779840 hasConceptScore W2511779840C104317684 @default.
- W2511779840 hasConceptScore W2511779840C11413529 @default.
- W2511779840 hasConceptScore W2511779840C115961682 @default.
- W2511779840 hasConceptScore W2511779840C118615104 @default.
- W2511779840 hasConceptScore W2511779840C121332964 @default.
- W2511779840 hasConceptScore W2511779840C126838900 @default.
- W2511779840 hasConceptScore W2511779840C134306372 @default.
- W2511779840 hasConceptScore W2511779840C153180895 @default.
- W2511779840 hasConceptScore W2511779840C154945302 @default.
- W2511779840 hasConceptScore W2511779840C163716315 @default.
- W2511779840 hasConceptScore W2511779840C183115368 @default.
- W2511779840 hasConceptScore W2511779840C185592680 @default.
- W2511779840 hasConceptScore W2511779840C22789450 @default.
- W2511779840 hasConceptScore W2511779840C2778755073 @default.
- W2511779840 hasConceptScore W2511779840C33923547 @default.
- W2511779840 hasConceptScore W2511779840C41008148 @default.
- W2511779840 hasConceptScore W2511779840C55493867 @default.
- W2511779840 hasConceptScore W2511779840C62520636 @default.
- W2511779840 hasConceptScore W2511779840C63479239 @default.
- W2511779840 hasConceptScore W2511779840C71924100 @default.
- W2511779840 hasConceptScore W2511779840C7218915 @default.
- W2511779840 hasConceptScore W2511779840C73000952 @default.
- W2511779840 hasConceptScore W2511779840C74193536 @default.
- W2511779840 hasConceptScore W2511779840C9417928 @default.
- W2511779840 hasConceptScore W2511779840C99102927 @default.
- W2511779840 hasLocation W25117798401 @default.
- W2511779840 hasOpenAccess W2511779840 @default.
- W2511779840 hasPrimaryLocation W25117798401 @default.
- W2511779840 hasRelatedWork W1971601721 @default.
- W2511779840 hasRelatedWork W1973029427 @default.
- W2511779840 hasRelatedWork W2031433411 @default.
- W2511779840 hasRelatedWork W2042017577 @default.