Title :
Facial feature detection and extraction using symmetry and region-based deformable template matching
Author :
Bahonar, Hoda ; Charkari, Nasrollah M.
Author_Institution :
Dep. of Comput. & Electron. Eng., Tarbiat Modares Univ., Tehran, Iran
Abstract :
In this paper, we propose a method for selecting the symmetry axis of eyes region from two or more candidates. We propose a region-based deformable template matching from two new defined operations: intensity-based 2-clustering and edge shadowing. The results display the effectiveness of our method for extraction of eye, eyebrow and nose templates. The parameters of these templates can be used as feature vectors in low bit rate transmission. Evaluation of the proposed method on an Iranian database shows the accuracy of 99% for feature region extraction and 86% in average for feature template extraction.
Keywords :
feature extraction; image matching; object detection; pattern clustering; visual databases; Iranian database; edge shadowing; eye extraction; eyebrow extraction; facial feature detection; feature region extraction; feature template extraction; intensity-based 2-clustering; nose templates; region-based deformable template matching; Bit rate; Displays; Eyebrows; Eyes; Face detection; Facial features; Feature extraction; Nose; Shadow mapping; Spatial databases; Deformable template matching; Facial feature detection; Facial feature extraction; Projection function;
Conference_Titel :
Computer Conference, 2009. CSICC 2009. 14th International CSI
Conference_Location :
Tehran
Print_ISBN :
978-1-4244-4261-4
Electronic_ISBN :
978-1-4244-4262-1
DOI :
10.1109/CSICC.2009.5349655
