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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 modeldoi:10.37624/ijert/13.11.2020.3217-3221 fatcat:yjzsbu5e6bdynhi7nd5n4kws3m