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Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 4 | Page No.: 795-799
DOI: 10.3923/jas.2006.795.799
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Fast Template-based Face Detection Algorithm Using Quad-tree Template

Chang-Woo Park and Mignon Park

Machine recognition of faces from still and moving images is emerging as an active research area spanning several research fields such as image processing, pattern recognition, computer vision and communication. In addition, human face detection, recognition and identification techniques have numerous applications such as human interface based systems and real-time video systems for surveillance and security, etc. In this study, we suggest an algorithm for face detection from 2D color images using the quad-tree deformable template matching method. The deformable template matching method is used to find the face area and locate facial features. In order to make the algorithm insensitive to luminance, we convert the conventional RGB coordinates into the normalized CIE coordinates. The face detection procedure can speed-up under limited conditions and we also modify the algorithm for fast detection using the quad-tree hierarchical template of the face. The quad-tree template can easily and quickly sizable and the comparison between the template and the image is weighted according to the deviation of color. The template comparison results with the plain texture template and the quad-tree template are shown in this study.
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  •    Face Detection Based on Graph Structure and Neural Networks
  •    Entropy-Directed AdaBoost Algorithm with NBBP Features for Face Detection
How to cite this article:

Chang-Woo Park and Mignon Park , 2006. Fast Template-based Face Detection Algorithm Using Quad-tree Template. Journal of Applied Sciences, 6: 795-799.

DOI: 10.3923/jas.2006.795.799






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