Introduction

The face has been considered as the one of the most identifying and significant feature of an individual. The three dimension shape of face is the combination of hard skeletal structure which contain the skull and cartilage in nose, skin, muscles and soft fatty tissues. The facial reconstruction also termed as facial approximation is often working as a catalyst for the purpose of human identification. In present era of time, with the increase in the technological features, the application of computer also combine both the craniofacial reconstruction as well as the comparison of skull with large set of photographs. These practice involves both the artistic as well as scientific skills and helpful in reconstructing the soft tissue onto the skull in a manner to provide the image of individual for the purpose of identification and recognition (Gupta, 2015).

The one practicing facial reconstruction usually require a method free from the practitioner subjectivity and moreover for the anthropological training and because of that they are easily surrounded with an idea of an automated computer system that have a very great advantage on the manner of speed as well as efficiency. Previously, the first computerized system was established in 1980 at the University College London and is completely based on the cranial reconstruction surgery. Besides that there are many more computerized system which represent its existence and one of the working of Vanezis including his colleagues consider the facial and skull surface data which they collected with both 2-D and 3-D method like photography, laser scanning, magnetic resonance imaging and other computer tomography scanning. Hence with the advancement of the computerized 3-D modelling technology, the facial reconstruction have tried to imitate the manual method of the facial reconstruction (Wilkinson, 2005).