K
Karl Ricanek
Researcher at University of North Carolina at Wilmington
Publications - 105
Citations - 2971
Karl Ricanek is an academic researcher from University of North Carolina at Wilmington. The author has contributed to research in topics: Facial recognition system & Feature extraction. The author has an hindex of 22, co-authored 101 publications receiving 2608 citations. Previous affiliations of Karl Ricanek include University of North Carolina at Chapel Hill & Wilmington University.
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Proceedings ArticleDOI
MORPH: a longitudinal image database of normal adult age-progression
Karl Ricanek,Tamirat Tesafaye +1 more
TL;DR: The MORPH dataset as discussed by the authors is a longitudinal face database developed for researchers investigating all facets of adult age-progression, e.g. face modeling, photo-realistic animation, face recognition, etc.
Journal ArticleDOI
A review of the literature on the aging adult skull and face: implications for forensic science research and applications.
TL;DR: Findings on environmental and innate influences on face aging, facial soft tissue age changes, and bony changes in the craniofacial and dentoalveolar skeleton are presented.
Proceedings ArticleDOI
Age estimation using Active Appearance Models and Support Vector Machine regression
TL;DR: A novel age estimation technique that combines Active Appearance Models (AAMs) and Support Vector Machines (SVMs) to dramatically improve the accuracy of age estimation over the current state-of-the-art techniques is introduced.
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression.
Karl Ricanek,Tamirat Tesafaye +1 more
TL;DR: It is concluded that the problem of age-progression on face recognition (FR) is not unique to the algorithm used in this work, and the efficacy of this algorithm is evaluated against the variables of gender and racial origin.
Proceedings ArticleDOI
Aspects of Age Variation in Facial Morphology Affecting Biometrics
TL;DR: A summary of recent research that spans biometric, forensic, and anthropologic literature in an attempt to unify a variety of findings related to adult aging, discusses work in synthesizing images of aged faces and its relation to the anthropological findings, and also presents work demonstrating a need for further study in this area to improve face-based biometric techniques.