Name
Abstract | ||
|---|---|---|
Facial features' localization is an important part of various applications such as face recognition, facial expression detection and human computer interaction. It plays an essential role in human face analysis especially in searching for facial features (mouth, nose and eyes) when the face region is included within the image. Most of these applications require the face and facial feature detection algorithms. In this paper, a new method is proposed to locate facial features. A morphological operation is used to locate the pupils of the eyes and estimate the mouth position according to them. The boundaries of the allocated features are computed as a result when the features are allocated. The results obtained from this work indicate that the algorithm has been very successful in recognising different types of facial expressions. |
Year | Venue | Field |
|---|---|---|
2010 | BIO-INSPIRED HUMAN- MACHINE INTERFACES AND HEALTHCARE APPLICATIONS | Pattern recognition,Computer science,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenz A. Bozed | 1 | 0 | 0.34 |
| Ali Mansour | 2 | 6 | 2.81 |
| Osei Adjei | 3 | 14 | 4.20 |