articleApr 28, 2006Closed access

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

Indexed incrossref

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

1,169
total citations
FWCI
11.67
Percentile
100%
References
11
Citations per year

Authors

2

Topics & keywords

Keywords
  • Facial recognition system
  • Computer science
  • Face (sociological concept)
  • Animation
  • Database
  • Artificial intelligence
  • Set (abstract data type)
  • Computer vision
No related works found for this paper.