| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 495785 | Applied Soft Computing | 2013 | 9 Pages |
Statistical appearance models have previously been used for computer face recognition applications in which an image patch is synthesized and morphed to match a target face image using an automated iterative fitting algorithm. Here we describe an alternative use for appearance models, namely for producing facial composite images (sometimes referred to as E-FIT or PhotoFIT images). This application poses an interesting real-world optimization problem because the target face exists in the mind of the witness and not in a tangible form such as a digital image. To solve this problem we employ an interactive evolutionary algorithm that allows the witness to evolve a likeness to the target face. A system based on our approach, called EFIT-V, is used frequently by three quarters of UK police constabularies.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► We describe our holistic method for facial composite construction. ► Plausible faces were generated using an appearance model. ► Face parameters were optimised using an interactive evolutionary algorithm. ► A software application (EFIT-V) is used by policing and law enforcement agencies.
