| dc.rights.license | All rights reserved | en_US |
| dc.contributor.advisor | Duffany, Jeffrey | |
| dc.contributor.author | Nafi, Rushdi Nafi Hamdan | |
| dc.date.accessioned | 2020-07-09T16:36:14Z | |
| dc.date.available | 2020-07-09T16:36:14Z | |
| dc.date.issued | 2018 | |
| dc.identifier.citation | Rushdi Nafi Hamdan , N. (2018). Real time face detection system [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico. | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12475/343 | |
| dc.description | Design Project Article for the Graduate Programs at Polytechnic University of Puerto Rico | en_US |
| dc.description.abstract | This 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.language.iso | en_US | en_US |
| dc.publisher | Polytechnic University of Puerto Rico | en_US |
| dc.relation.ispartof | Computer Science; | |
| dc.relation.ispartofseries | Spring-2018; | |
| dc.relation.haspart | San Juan | en_US |
| dc.subject.lcsh | Human face recognition (Computer science) | |
| dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Research | |
| dc.subject.lcsh | Polytechnic University of Puerto Rico--Graduate students--Posters | |
| dc.title | Real Time Face Detection System | en_US |
| dc.type | Article | en_US |
| dc.rights.holder | Polytechnic University of Puerto Rico, Graduate School | en_US |
