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Face Detection Algorithm Research Based on Color-Model

Author: LiYuanGang
Tutor: JiangYongMei
School: National University of Defense Science and Technology
Course: Electronics and Communication Engineering
Keywords: Face Detection Skin color model Skin color segmentation Template matching BDF
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 101
Quote: 5
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Abstract


Face recognition is a biometric identification technology . Face detection is the premise and key of face recognition . Face detection is detected from the image background will face . Different image background , face variability and changes in lighting conditions have increased the difficulty of face detection , therefore , detect faces from an image is a challenging task . Static color face images , focuses on skin color detection algorithm . Color characteristics combined with multi - template matching face detection method . The color image of the first dual - threshold obtained by experiment on the pretreated skin color segmentation ; then the use of multi-template matching to match the search ; Finally mosaic rule verification . The experimental results show that this method is not the impact of changes in the expression and fast , and easy to implement . Bayes identifying characteristics (Bayesian Discriminating Features, BDF) algorithm is high and slow speed of detection , improved face detection method to achieve a skin color and the BDF algorithm combined . First coarse screening with skin color image , one or more candidate face region image recognition, feature extraction and statistical modeling ; Second trained an average face and average non- income face model ; then BDF algorithms Hou selected face region verdict: Finally , in order to further improve the detection performance , the false detection of non-face region retraining . The experimental test results show that the BDF algorithm improved compared with the original BDF algorithm detects speed increased nearly 1.6 times the false detection rate reduced by nearly 1% .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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