Real Time Face Detection System

dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorNafi, Rushdi Nafi Hamdan
dc.date.accessioned2020-07-09T16:36:14Z
dc.date.available2020-07-09T16:36:14Z
dc.date.issued2018
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThis paper presents details of a prototype for research project on face detection systems. The prototype uses Emgu CV cross platform .Net wrapper with the Intel OpenCV image processing library and C# .Net. The library allows capture and processing of image from a camera in real time. Principal Component Analysis (PCA) with Eigen face is used on the technology. Details of the project such as code samples, architecture diagram, system design ER diagrams, use cases, activity diagrams, data flow diagrams, class diagram, and sequence diagram are presented. Details of the testing, and feasibility are also given. Key Terms  Emgu CV, Face Detection, Intel OpenCV, Principal Component Analysis.en_US
dc.identifier.citationRushdi Nafi Hamdan , N. (2018). Real time face detection system [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/343
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.haspartSan Juanen_US
dc.relation.ispartofComputer Science;
dc.relation.ispartofseriesSpring-2018;
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US
dc.rights.licenseAll rights reserveden_US
dc.subject.lcshHuman face recognition (Computer science)
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Posters
dc.titleReal Time Face Detection Systemen_US
dc.typeArticleen_US

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