LICoS: Landmark-based Identikit Composition and Suspect Retrieval
Gerardo Iovane, Enver Sangineto · Journal of Discrete Mathematical Sciences and Cryptography · 2008
In this work we present a system for identikit composition and face recognition based on anatomic landmarks, i.e., a set of points manually set by the user which define the position of the most important face features. Landmarks are used both in the identikit composition, driving the mapping on the current image of possible new facial features taken from a previously built face features database and at retrieval time. In this latter case, a nearest-neighbor approach is used in order to retrieve from a database of suspect individuals such faces whose landmark dispositions best aligns with the landmarks of the input query. It is important to note that landmark selection can be made with every kind of face representation: either drawings or real images are dealt with at the same manner. For this reason, our system is able to compare real images with drawings while common face recognition systems cannot.