MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
University of North Carolina Wilmington · University of North Carolina at Chapel Hill · +1 more institution
Abstract
This paper details MORPH a longitudinal face database developed for researchers investigating all facets of adult age-progression, e.g. face modeling, photo-realistic animation, face recognition, etc. This database contributes to several active research areas, most notably face recognition, by providing: the largest set of publicly available longitudinal images; longitudinal spans from a few months to over twenty years; and, the inclusion of key physical parameters that affect aging appearance. The direct contribution of this data corpus for face recognition is highlighted in the evaluation of a standard face recognition algorithm, which illustrates the impact that age-progression, has on recognition rates.…
Citation impact
- FWCI
- 11.67
- Percentile
- 100%
- References
- 11
Authors
2Topics & keywords
- Facial recognition system
- Computer science
- Face (sociological concept)
- Animation
- Database
- Artificial intelligence
- Set (abstract data type)
- Computer vision