FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2161520245> ?p ?o ?g. }

• W2161520245 abstract "Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surface-based registration is useful for tracking brain change, and for creating statistical shape models of anatomy. Based on surface correspondences, metrics can also be designed to measure differences in facial geometry and expressions. To avoid the need for a large set of manually-defined landmarks to constrain these surface correspondences, we developed an algorithm to automate the matching of surface features. It extends the mutual information method to automatically match general 3D surfaces (including surfaces with a branching topology). We use diffeomorphic flows to optimally align the Riemann surface structures of two surfaces. First, we use holomorphic I-forms to induce consistent conformal grids on both surfaces. High genus surfaces are mapped to a set of rectangles in the Euclidean plane and closed genus-zero surfaces are mapped to the sphere. Next, we compute stable geometric features (mean curvature and conformal factor) and pull them back as scalar fields onto the 2D parameter domains. Mutual information is used as a cost functional to drive a fluid flow in the parameter domain that optimally aligns these surface features. A diffeomorphic surface-to-surface mapping is then recovered that matches surfaces in 3D. Lastly, we present a spectral method that ensures that the grids induced on the target surface remain conformal when pulled through the correspondence field. Using the chain rule, we express the gradient of the mutual information between surfaces in the conformal basis of the source surface. This finite-dimensional linear space generates all conformal reparameterizations of the surface. Illustrative experiments apply the method to face recognition and to the registration of brain structures, such as the hippocampus in 3D MRI scans, a key step in understanding brain shape alterations in Alzheimer's disease and schizophrenia." @default.
• W2161520245 created "2016-06-24" @default.
• W2161520245 creator A5003523497 @default.
• W2161520245 creator A5067455070 @default.
• W2161520245 creator A5069168079 @default.
• W2161520245 date "2005-01-01" @default.
• W2161520245 modified "2023-09-25" @default.
• W2161520245 title "Mutual information-based 3D surface matching with applications to face recognition and brain mapping" @default.
• W2161520245 cites W1486670659 @default.
• W2161520245 cites W1709036216 @default.
• W2161520245 cites W1819513867 @default.
• W2161520245 cites W1890417865 @default.
• W2161520245 cites W1972099553 @default.
• W2161520245 cites W1976451576 @default.
• W2161520245 cites W1983607598 @default.
• W2161520245 cites W1986979777 @default.
• W2161520245 cites W1995546020 @default.
• W2161520245 cites W2004537679 @default.
• W2161520245 cites W2006557707 @default.
• W2161520245 cites W2022935832 @default.
• W2161520245 cites W2035415121 @default.
• W2161520245 cites W2041398617 @default.
• W2161520245 cites W2072008263 @default.
• W2161520245 cites W2083507918 @default.
• W2161520245 cites W2099530880 @default.
• W2161520245 cites W2102214751 @default.
• W2161520245 cites W2110437310 @default.
• W2161520245 cites W2113576511 @default.
• W2161520245 cites W2118020555 @default.
• W2161520245 cites W2127033124 @default.
• W2161520245 cites W2134165173 @default.
• W2161520245 cites W2135192052 @default.
• W2161520245 cites W2140935196 @default.
• W2161520245 cites W2155470730 @default.
• W2161520245 cites W2542965268 @default.
• W2161520245 doi "https://doi.org/10.1109/iccv.2005.165" @default.
• W2161520245 hasPublicationYear "2005" @default.
• W2161520245 type Work @default.
• W2161520245 sameAs 2161520245 @default.
• W2161520245 citedByCount "21" @default.
• W2161520245 countsByYear W21615202452012 @default.
• W2161520245 countsByYear W21615202452013 @default.
• W2161520245 countsByYear W21615202452014 @default.
• W2161520245 countsByYear W21615202452016 @default.
• W2161520245 countsByYear W21615202452022 @default.
• W2161520245 crossrefType "proceedings-article" @default.
• W2161520245 hasAuthorship W2161520245A5003523497 @default.
• W2161520245 hasAuthorship W2161520245A5067455070 @default.
• W2161520245 hasAuthorship W2161520245A5069168079 @default.
• W2161520245 hasConcept C11413529 @default.
• W2161520245 hasConcept C114614502 @default.
• W2161520245 hasConcept C134306372 @default.
• W2161520245 hasConcept C152139883 @default.
• W2161520245 hasConcept C153180895 @default.
• W2161520245 hasConcept C154945302 @default.
• W2161520245 hasConcept C165818556 @default.
• W2161520245 hasConcept C184720557 @default.
• W2161520245 hasConcept C20885615 @default.
• W2161520245 hasConcept C2524010 @default.
• W2161520245 hasConcept C2776799497 @default.
• W2161520245 hasConcept C31972630 @default.
• W2161520245 hasConcept C33923547 @default.
• W2161520245 hasConcept C41008148 @default.
• W2161520245 hasConcept C47556283 @default.
• W2161520245 hasConcept C98214594 @default.
• W2161520245 hasConceptScore W2161520245C11413529 @default.
• W2161520245 hasConceptScore W2161520245C114614502 @default.
• W2161520245 hasConceptScore W2161520245C134306372 @default.
• W2161520245 hasConceptScore W2161520245C152139883 @default.
• W2161520245 hasConceptScore W2161520245C153180895 @default.
• W2161520245 hasConceptScore W2161520245C154945302 @default.
• W2161520245 hasConceptScore W2161520245C165818556 @default.
• W2161520245 hasConceptScore W2161520245C184720557 @default.
• W2161520245 hasConceptScore W2161520245C20885615 @default.
• W2161520245 hasConceptScore W2161520245C2524010 @default.
• W2161520245 hasConceptScore W2161520245C2776799497 @default.
• W2161520245 hasConceptScore W2161520245C31972630 @default.
• W2161520245 hasConceptScore W2161520245C33923547 @default.
• W2161520245 hasConceptScore W2161520245C41008148 @default.
• W2161520245 hasConceptScore W2161520245C47556283 @default.
• W2161520245 hasConceptScore W2161520245C98214594 @default.
• W2161520245 hasLocation W21615202451 @default.
• W2161520245 hasOpenAccess W2161520245 @default.
• W2161520245 hasPrimaryLocation W21615202451 @default.
• W2161520245 hasRelatedWork W1589774496 @default.
• W2161520245 hasRelatedWork W1984422936 @default.
• W2161520245 hasRelatedWork W2004173873 @default.
• W2161520245 hasRelatedWork W2008889353 @default.
• W2161520245 hasRelatedWork W2056490916 @default.
• W2161520245 hasRelatedWork W2185810246 @default.
• W2161520245 hasRelatedWork W2354756786 @default.
• W2161520245 hasRelatedWork W2390164981 @default.
• W2161520245 hasRelatedWork W2995419473 @default.
• W2161520245 hasRelatedWork W4306177281 @default.
• W2161520245 isParatext "false" @default.
• W2161520245 isRetracted "false" @default.
• W2161520245 magId "2161520245" @default.
• W2161520245 workType "article" @default.