Enhanced Constrained Local Models (CLM) for Facial Feature Detection

Ayah Alsarayreh, Fatma Susilawati Mohamad
2020 International journal of engineering research and technology  
Face land-marking, defined as detecting and locating certain distinctive points on the face, is a key goal between a big amounts of ventures that result in face-preparing activities ranging from biometric recognition to mental state comprehension. Despite its applied simplicity, this problem has turned out to be highly tested due to inherent facial variability as well as the enormous amount of puzzling variables such as pose, expression, illumination and occlusions. An integrated fitting model
more » ... ated fitting model is developed that improve the power of Constrained Local Models (CLM), and obtained an innovative result on the problem of feature detection. The experiment results have indicated that the proposed model is effective in facial features extraction and get result better than Constrained Local Models (CLM).
doi:10.37624/ijert/13.11.2020.3217-3221 fatcat:yjzsbu5e6bdynhi7nd5n4kws3m