Improvements and Performance Evaluation Concerning Synthetic Age Progression and Face Recognition Affected by Adult Aging View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2009

AUTHORS

Amrutha Sethuram , Eric Patterson , Karl Ricanek , Allen Rawls

ABSTRACT

Aging of the face degrades the performance of face recognition algorithms. This paper presents recent work in synthetic age progression as well as performance comparisons for modern face recognition systems. Two top-performing, commercial systems along with a traditional PCA-based face recognizer are compared. It is shown that the commercial systems perform better than the baseline PCA algorithm, but their performance still deteriorates on an aged data-set. It is also shown that the use of our aging model improves the rank-one accuracy in these systems. More... »

PAGES

62-71

Book

TITLE

Advances in Biometrics

ISBN

978-3-642-01792-6
978-3-642-01793-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-01793-3_7

DOI

http://dx.doi.org/10.1007/978-3-642-01793-3_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047307014


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