Enhanced Constrained Local Models (CLM) for Facial Feature Detection
Ayah Alsarayreh, Fatma Susilawati Mohamad · International Journal of Engineering Research and Technology · 2020
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 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).