Establishing a test set and initial comparisons for quantitatively evaluating synthetic age progression for adult aging

Generating accurately age-progressed images has application in improving the robustness of face-based biometrics, aiding human law enforcement, and serving other applications. There has been a growing interest in this topic, but age-progression techniques and particularly means to evaluate their effectiveness quantitatively are still underdeveloped. This paper presents work in establishing a standard dataset over which techniques may be evaluated as well as some initial evaluation work. Firstly, a photographic test set that has several representative images of the same individuals across many years has been assembled in an effort to provide a comparison standard. By using photos of an individual at a younger age when the matching photos of that person at an older age are available, age-progression methods may be quantitatively compared. Secondly, several initial variations of age-progression methods are compared over this dataset.