Proposing an approach for face detection based on gaussian color filters with template matching
Nasrabadi, A., Azadi, S., Haddadnia, J. (2008). Proposing an approach for face detection based on gaussian color filters with template matching. EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), 1-11. doi: 10.21608/iceeng.2008.34369
Abbas Nasrabadi; Sassan Azadi; Javad Haddadnia. "Proposing an approach for face detection based on gaussian color filters with template matching". EKB Journal Management System, 6, 6th International Conference on Electrical Engineering ICEENG 2008, 2008, 1-11. doi: 10.21608/iceeng.2008.34369
Nasrabadi, A., Azadi, S., Haddadnia, J. (2008). 'Proposing an approach for face detection based on gaussian color filters with template matching', EKB Journal Management System, 6(6th International Conference on Electrical Engineering ICEENG 2008), pp. 1-11. doi: 10.21608/iceeng.2008.34369
Nasrabadi, A., Azadi, S., Haddadnia, J. Proposing an approach for face detection based on gaussian color filters with template matching. EKB Journal Management System, 2008; 6(6th International Conference on Electrical Engineering ICEENG 2008): 1-11. doi: 10.21608/iceeng.2008.34369

Proposing an approach for face detection based on gaussian color filters with template matching

The International Conference on Electrical Engineering
Article 103, Volume 6, 6th International Conference on Electrical Engineering ICEENG 2008, May 2008, Page 1-11  XML PDF (463.17 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2008.34369
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Authors
Abbas Nasrabadi1; Sassan Azadi1; Javad Haddadnia2
1Semnan University, Mechatronics Department, Semnan,Iran.
2Sabzevar Azad University, Electrical Engineering Department, Sabzevar, Iran.
Abstract
Abstract:
This article is devoted to introducing a new algorithm for face detection. This method is
based on using an algorithm for skin color, and template matching. First, we determined
the skin points by considering the standard skin colors. This considering rejects many
parts from either the pictures or video images. Then, using the template matching the
different parts is combined, and many errors due to the mismatch of the first algorithm,
and some noises are reduced vitally. Our simulation results indicate that both positive
and negative errors have insignificant.
Keywords
Face detection; Template matching; colored space; Gaussian filter; skin model
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