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A New Face Detection Technique using 2D DCT and Self Organizing Feature Map
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BibTeX
@MISC{Abdallah_anew,
author = {Abdallah S. Abdallah and A. Lynn Abbott and Mohamad Abou El-nasr},
title = {A New Face Detection Technique using 2D DCT and Self Organizing Feature Map},
year = {}
}
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Abstract
Abstract—This paper presents a new technique for detection of human faces within color images. The approach relies on image segmentation based on skin color, features extracted from the twodimensional discrete cosine transform (DCT), and self-organizing maps (SOM). After candidate skin regions are extracted, feature vectors are constructed using DCT coefficients computed from those regions. A supervised SOM training session is used to cluster feature vectors into groups, and to assign “face ” or “non-face ” labels to those clusters. Evaluation was performed using a new image database of 286 images, containing 1027 faces. After training, our detection technique achieved a detection rate of 77.94 % during subsequent tests, with a false positive rate of 5.14%. To our knowledge, the proposed technique is the first to combine DCT-based feature extraction with a SOM for detecting human faces within color images. It is also one of a few attempts to combine a feature-invariant approach, such as color-based skin segmentation, together with appearance-based face detection. The main advantage of the new technique is its low computational requirements, in terms of both processing speed and memory utilization. Keywords—Face detection, skin color segmentation, selforganizing map. I.
Keyphrases
new face detection technique self organizing feature map color image new technique feature vector main advantage image segmentation new image database appearance-based face detection subsequent test detection technique detection rate dct coefficient twodimensional discrete cosine transform non-face label self-organizing map skin color low computational requirement supervised som training session false positive rate dct-based feature extraction color-based skin segmentation candidate skin region keywords face detection color segmentation memory utilization feature-invariant approach
