Image Metamorphosis to Support Forensic Reconstruction

This paper presents a new image metamorphosis method, ADAMM, especially developed to overcome the challenge in Forensic facial reconstruction of missing children and which does not require any type of training or supervision. ADAMM consists first in facial points of interest detection by computer vision, followed by automatic alignment between the corresponding segments in both source images, and finally the final image generation through its morphological median. Experiments were performed on a dataset with real images to compare the proposed method results with those from commercial programs based on traditional morphing methods. The experiments yielded a numeric gain in sharpness in all cases, ranging from +24% to +584:4%.