Matches in SemOpenAlex for { <https://semopenalex.org/work/W2747952842> ?p ?o ?g. }
- W2747952842 endingPage "217" @default.
- W2747952842 startingPage "200" @default.
- W2747952842 abstract "Abstract Craniofacial superimposition (CFS) is a skeleton-based technique that aims to provide identity to a skull through its superimposition with one or more photographs of candidate missing people. While traditionally performed by forensic experts, computer-aided CFS methods can now provide substantial speedups and are quickly progressing towards a large degree of automation. A current major limitation concerns the position of the mandible, which is required to be manually set by the expert beforehand in order to reproduce the facial expression of the subject in each available photograph. This is time-consuming and prone to errors. In this work, we address this issue by extending the state-of-the-art genetic algorithm-based method with the ability to allocate the mandible in the right position according to an anatomical model. Based on a dataset of simulated ante-mortem images with different mandible apertures and facial poses, we prove experimentally that the proposed method is able to effectively tackle cases displaying a much larger range of mandible positions. In fact, thanks to the new genetic design, it is able to outperform the original method, even when the mandible aperture is very small." @default.
- W2747952842 created "2017-08-31" @default.
- W2747952842 creator A5011959346 @default.
- W2747952842 creator A5029102500 @default.
- W2747952842 creator A5043084209 @default.
- W2747952842 creator A5067424776 @default.
- W2747952842 creator A5080437960 @default.
- W2747952842 date "2017-12-01" @default.
- W2747952842 modified "2023-10-12" @default.
- W2747952842 title "Genetic algorithms for skull-face overlay including mandible articulation" @default.
- W2747952842 cites W1044210311 @default.
- W2747952842 cites W1234659629 @default.
- W2747952842 cites W1603518983 @default.
- W2747952842 cites W161350532 @default.
- W2747952842 cites W1968193040 @default.
- W2747952842 cites W1973377378 @default.
- W2747952842 cites W1983437834 @default.
- W2747952842 cites W1993645209 @default.
- W2747952842 cites W1999931002 @default.
- W2747952842 cites W2000242019 @default.
- W2747952842 cites W2002364893 @default.
- W2747952842 cites W2003843639 @default.
- W2747952842 cites W2004202585 @default.
- W2747952842 cites W2006234729 @default.
- W2747952842 cites W2013431096 @default.
- W2747952842 cites W2016944307 @default.
- W2747952842 cites W2017663387 @default.
- W2747952842 cites W2018386115 @default.
- W2747952842 cites W2045865100 @default.
- W2747952842 cites W2050591989 @default.
- W2747952842 cites W2051169188 @default.
- W2747952842 cites W2054893931 @default.
- W2747952842 cites W2060460380 @default.
- W2747952842 cites W2061554433 @default.
- W2747952842 cites W2064748404 @default.
- W2747952842 cites W2069298588 @default.
- W2747952842 cites W2071283846 @default.
- W2747952842 cites W2081136856 @default.
- W2747952842 cites W2091625990 @default.
- W2747952842 cites W2130771087 @default.
- W2747952842 cites W2131491927 @default.
- W2747952842 cites W2132433736 @default.
- W2747952842 cites W2137039203 @default.
- W2747952842 cites W2141539174 @default.
- W2747952842 cites W2161652617 @default.
- W2747952842 cites W2287064121 @default.
- W2747952842 cites W2528213964 @default.
- W2747952842 cites W2599197496 @default.
- W2747952842 doi "https://doi.org/10.1016/j.ins.2017.08.029" @default.
- W2747952842 hasPublicationYear "2017" @default.
- W2747952842 type Work @default.
- W2747952842 sameAs 2747952842 @default.
- W2747952842 citedByCount "11" @default.
- W2747952842 countsByYear W27479528422018 @default.
- W2747952842 countsByYear W27479528422019 @default.
- W2747952842 countsByYear W27479528422020 @default.
- W2747952842 countsByYear W27479528422022 @default.
- W2747952842 countsByYear W27479528422023 @default.
- W2747952842 crossrefType "journal-article" @default.
- W2747952842 hasAuthorship W2747952842A5011959346 @default.
- W2747952842 hasAuthorship W2747952842A5029102500 @default.
- W2747952842 hasAuthorship W2747952842A5043084209 @default.
- W2747952842 hasAuthorship W2747952842A5067424776 @default.
- W2747952842 hasAuthorship W2747952842A5080437960 @default.
- W2747952842 hasConcept C105702510 @default.
- W2747952842 hasConcept C11413529 @default.
- W2747952842 hasConcept C119857082 @default.
- W2747952842 hasConcept C136085584 @default.
- W2747952842 hasConcept C144024400 @default.
- W2747952842 hasConcept C154945302 @default.
- W2747952842 hasConcept C157369684 @default.
- W2747952842 hasConcept C17744445 @default.
- W2747952842 hasConcept C199360897 @default.
- W2747952842 hasConcept C199539241 @default.
- W2747952842 hasConcept C2779300802 @default.
- W2747952842 hasConcept C2779304628 @default.
- W2747952842 hasConcept C2779337067 @default.
- W2747952842 hasConcept C2779767645 @default.
- W2747952842 hasConcept C31972630 @default.
- W2747952842 hasConcept C36289849 @default.
- W2747952842 hasConcept C41008148 @default.
- W2747952842 hasConcept C86803240 @default.
- W2747952842 hasConcept C8880873 @default.
- W2747952842 hasConcept C90856448 @default.
- W2747952842 hasConcept C94625758 @default.
- W2747952842 hasConceptScore W2747952842C105702510 @default.
- W2747952842 hasConceptScore W2747952842C11413529 @default.
- W2747952842 hasConceptScore W2747952842C119857082 @default.
- W2747952842 hasConceptScore W2747952842C136085584 @default.
- W2747952842 hasConceptScore W2747952842C144024400 @default.
- W2747952842 hasConceptScore W2747952842C154945302 @default.
- W2747952842 hasConceptScore W2747952842C157369684 @default.
- W2747952842 hasConceptScore W2747952842C17744445 @default.
- W2747952842 hasConceptScore W2747952842C199360897 @default.
- W2747952842 hasConceptScore W2747952842C199539241 @default.
- W2747952842 hasConceptScore W2747952842C2779300802 @default.
- W2747952842 hasConceptScore W2747952842C2779304628 @default.
- W2747952842 hasConceptScore W2747952842C2779337067 @default.