Contrasting various Skull Identification Schemes: A Review
Shrutika S. Gayakwad, Prakash S. Mohod, G. H. Raisoni · 2015
Abstract — One of the most noticeable disciplines in forensic medicine is human identification. When this task is done by reviewing the skeleton remains, we refer to the area of Forensic Anthropology. Over the past few decades, anthropologists have pays their attention on improving those techniques that allow a more precise identification. Hence, Forensic Identification has become a very active research area & Skull identification has been emerging as an vital field in this discipline. The existing methodologies rely essentially on the accurate abstraction and depiction of the intrinsic relationship between the skull and face in terms of the morphology, which still remain unresolved. They have high ambiguity and a low identification capability. Thus we are establishing this technique with the help of CCA (Canonical Correlation Analysis) & ICAAM (Inverse Compositional Active Appearance Model) which in which model parameters are institute to maximize the ―match ‖ among the input image and the model instance. Then the model parameters are used in any application. For example, the parameters might get delivered to a classifier to yield a face recognition algorithm. Moreover we are focusing on 3D face models reconstructed from 2D face photos, by this way non-intrusive 3D face data capture will become readily available and cost proficient; the construction of huge 3D face databases will be feasible in the field of communal security. The suggested technique will surely come into an extensive application.