dc.contributor.authorShi, Fangzhou
dc.date.accessioned2017-05-11T04:54:01Z
dc.date.available2017-05-11T04:54:01Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/70767
dc.description.abstractHow can we extract human face data from complex environment? It has always been an essential question for computer engineers. People invented various methods to solve this question. In this project, some of them are introduced to help you have better understanding about face detection. The main challenge is at the wide variety of faces and the complexity of noise that generated by backgrounds. Certain algorithm is needed to differentiate face patterns and non-face patterns. In this project, I decided to run OpenCV which is the most mainstream image processing library on Visual Studio to ensure the processing speed and stability of the program.en_US
dc.format.extent56 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleFace recognition using openCVen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorMao Kezhien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record