dc.contributor.author |
Dawi, Mohammad Hassan. |
dc.date.accessioned |
2013-10-02T09:22:09Z |
dc.date.available |
2013-10-02T09:22:09Z |
dc.date.issued |
2012 |
dc.identifier.uri |
http://hdl.handle.net/10938/9508 |
dc.description |
Thesis (M.E.)--American University of Beirut, Department of Electrical and Computer Engineeering, 2013. |
dc.description |
Advisor : Dr. Mohammad-Adnan Al-Alaoui, Professor, Electrical and Computer Engineering--Committee Members : Dr. Ali Chehab, Professor, Electrical and Computer Engineering ; Dr. Haitham Akkary, Professor, Electrical and Computer Engineering. |
dc.description |
Includes bibliographical references (leaves 48-56) |
dc.description.abstract |
Face recognition in still images and extending to video is probably one of the most famous current, past and even futuristic applications and research areas of computer vision and image processing. Relatively a very old history - More than 30 years - of research is involved in this very useful category that is always progressing and enhancing. This work focuses mainly on face recognition using 3D or depth information. We present a fast stereo matching algorithm that can run in real time to generate depth information for a face given its left and right stereo images. The depth information is then augmented with the 2D face information for better recognition against a known labeled and well presented database of face images. Developing fast and accurate face recognition schemes along with the already available fast face detection schemes can lead to a full face or even object recognition system aiding humans in many useful applications. |
dc.format.extent |
xii, 56 leaves : ill. ; 30 cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:005803 AUBNO |
dc.subject.lcsh |
Computer vision. |
dc.subject.lcsh |
Three-dimensional imaging. |
dc.subject.lcsh |
Image processing. |
dc.subject.lcsh |
Face -- Mathematical models. |
dc.subject.lcsh |
Computer algorithms. |
dc.subject.lcsh |
Software engineering. |
dc.subject.lcsh |
Cluster analysis -- Computer programs. |
dc.title |
3D face reconstruction and recognition using stereo images. |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Engineering and Architecture. Department of Electrical and Computer Engineering. |