Finding the estimated position of facial features on the human face using intensity computation | |
| Author | Goenawan Brotosaputro |
| Call Number | AIT Thesis no. CS-97-12 |
| Subject(s) | Face perception Pattern recognition systems |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies |
| Publisher | Asian Institute of Technology |
| Abstract | Most human face recognition approaches start with a detection of facial features (facial feature extraction). To extract the right facial features, a process for finding their exact position is needed. The aim of this thesis to find the estimated position of facial features using intensity computation and to explain pre-processing in facial feature extraction. For the computerized images used in this research, the pixels were manipulated in intensity only, without changing their original position. The system performance was tested on 40 test data (20 good quality images and 20 interfered images), locating only eyes and lips line. Using good quality images, the system can show all facial features expected and from interfered images, the system only gives 90% of accuracy. Intensity computation is one possible method to find the estimated positions of facial features. The corner selection and capturing area processes give accurate results for locating the eyes and lips line. For future work, the algorithms should be improved to identify facial features. |
| Year | 1997 |
| Type | Thesis |
| School | School of Advanced Technologies (SAT) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Yulu, Qi ; |
| Examination Committee(s) | Sadananda, Ramakoti ;Batanov, Dentcho N.; |
| Scholarship Donor(s) | Yayasan Pendidikan "Budi Luhur" Jakarta, Indonesia; |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1997 |