Name
Abstract | ||
|---|---|---|
This paper presents a novel face detection system based on feature-based chrominance colour information from an image containing one face in indoor environment with non-uniform background. The face detection algorithm is based on the Adapted Chain Code (ACC), eye detection and Modified Golden Ratio (MGR). ACC is proposed to obtain a face boundary. MGR attempts to extract part of a face that includes eyes, eyebrows, nose and mouth, based on the detected eyesý positions. Experimental results show that the proposed algorithm is able to detect a face of near frontal with high accuracy. The database consists of faces with and without spectacles, wearing headscarf and without wearing headscarf. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/CGIV.2004.24 | CGIV |
Keywords | Field | DocType |
chain code,golden ratio,skin,feature extraction,image segmentation,face detection,face detection algorithm,face recognition | Computer vision,Facial recognition system,Three-dimensional face recognition,Object-class detection,Pattern recognition,Computer science,Chrominance,Feature extraction,Artificial intelligence,Feature based,Face detection,Chain code | Conference |
ISBN | Citations | PageRank |
0-7695-2178-9 | 6 | 0.49 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y. H. Chan | 1 | 11 | 1.31 |
| S. A. R. Abu-Bakar | 2 | 79 | 9.67 |