Skip to main content
Article thumbnail
Location of Repository

A Computer Approach for Face Aging Problems

By Khoa Luu

Abstract

Abstract. This paper first presents a novel age-estimation approach combining Active Appearance Models (AAMs) and Support Vector Regression (SVR) to yield the highest accuracy of age recognition rates of all comparable published results both in overall Mean Absolute Error (MAE) and Mean Absolute Error per decade of life (MAEd). The combination of AAMs and AVR is used again for a newly proposed face age-progression method. The familial information of siblings is also collected so that the system can predict the future faces of an individual based on parental and sibling facial traits. Especially, a new longitudinal familial face database is presented. Compared to other databases, this database is unique in that it contains family-based longitudinal images. It contains not only frontal faces but also the corresponding profiles. It has the largest number of pre-adult face images per subject on average.

Topics: Face aging, age-estimation, age-progression, active appearance models, support vector
Publisher: 2013-09-23
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.5553
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://link.springer.com/conte... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.