Development of the Wits Face Database: an African database of high-resolution facial photographs and multimodal closedcircuit television (CCTV) recordings [version 1; peer review: 2 approved]

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dc.citation.doi10.12688/f1000research.10817.1.en_ZA
dc.contributor.authorBacci, Nicholas
dc.contributor.authorDavimes, Joshua
dc.contributor.authorSteyn, Maryna
dc.contributor.authorBriers, Nanette
dc.date.accessioned2022-02-09T08:10:27Z
dc.date.available2022-02-09T08:10:27Z
dc.date.issued2021
dc.descriptionFacial comparison is utilised by law enforcement to associate two sets of images, captured on video or photographically, to one another.en_ZA
dc.description.abstractForensic facial comparison is a commonly used, yet under-evaluated method employed in medicolegal contexts across the world. Testing the accuracy and reliability of facial comparisons requires large scale controlled and matching facial image databases. Databases that contain images of individuals on closed-circuit television (CCTV), with matching formal and informal photographs are needed for this type of research. Although many databases are available, the majority if not all are developed in order to improve facial recognition and face detection algorithms through machine learning, with very limited if any measure of standardisation. This paper aims to review the available databases and describe the development of a high resolution, standardised facial photograph and CCTV recording database of male Africans. The database is composed of a total of 6220 standardised and uncontrolled suboptimal facial photographs of 622 matching individuals in five different views, as well as corresponding CCTV footage of 334 individuals recorded under different realistic conditions. A detailed description of the composition and acquisition process of the database as well as its subdivisions and possible uses are provided. The challenges and limitations of developing this database are also highlighted, particularly with regard to obtaining CCTV video recordings and ethics for a database of faces. The application process to access the database is also briefly described.en_ZA
dc.description.librarianLTM2022en_ZA
dc.description.sponsorshipNational Research Foundation of South Africaen_ZA
dc.facultyFaculty of Health Sciencesen_ZA
dc.funderJ.J.J. Smieszek Fellowship, School of Anatomical Sciences, University of the Witwatersrand.en_ZA
dc.identifier.citationChwistek M. Recent advances in understanding and managing cancer pain. F1000Res. 2017 Jun 20;6:945. doi: 10.12688/f1000research.10817.1.en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/32728
dc.journal.issue131en_ZA
dc.journal.linkhttps://doi.org/10.12688/f1000research.50887.1en_ZA
dc.journal.titleF1000Researchen_ZA
dc.journal.volume10en_ZA
dc.language.isoenen_ZA
dc.schoolSchool of Anatomical Sciencesen_ZA
dc.subjectFace databaseen_ZA
dc.subjectCCTVen_ZA
dc.subjectFacial photographsen_ZA
dc.subjectFacial identificationen_ZA
dc.subjectFacial comparisonen_ZA
dc.titleDevelopment of the Wits Face Database: an African database of high-resolution facial photographs and multimodal closedcircuit television (CCTV) recordings [version 1; peer review: 2 approved]en_ZA
dc.typeArticleen_ZA
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