Talk 4.1: 1:30PM–2:45PM
| Session Name: | Signal Processing and Network Applications |
| Session Time: | 1:30PM–2:45PM |
| Author Name: | Amir Faizi |
| Author Email: | afaizi@comm.utoronto.ca |
| Talk Title: | Face Detection |
| Slides: | 4-1.ppt |
| Abstract: | Automatic detection of human faces is becoming a very important task in various applications such as video Surveillance and security control system, intelligent human-computer interface, face recognition, content-based image retrieval, multimedia applications on the web like video conferencing and face database management. Most of the current face recognition systems presume that faces are readily available for processing. However, in reality, images contain not only just faces, but also some other objects in the complicated background. A system is required which will detect, locate and segment faces in images, so that these segregated faces can be given as input to face recognition systems. The task of face detection is so trivial for the human brain, yet it still remains a challenging and difficult problem to enable a computer to do face detection. The proposed method to achieve this goal is to use the template matching techniques and integrate it with feature extraction method to accurately detect frontal face objects. |
| Research Group: | Communications |
| Degree Program: | M.A.Sc. |
| Author Bio: | Biography not submitted. |