Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/279
Title: Evaluating the performance of Face-Aging Algorithms
Authors: Lanitis, Andreas 
Category: Arts
Field: Humanities
Issue Date: 2008
Publisher: IEEE
Source: 8th IEEE International Conference on Automatic Face and Gesture Recognition, 2008 (Special Session on Face Aging)
Link: http://www.fg2008.nl/
Abstract: An important aspect related to the development of faceaging algorithms is the evaluation of the ability of such algorithms to produce accurate age-progressed faces. In most studies reported in the literature, the performance of face-aging systems is established based either on the judgment of human observers or by using machine-based evaluation methods. In this paper we perform an experimental evaluation that aims to assess the applicability of human-based against typical machinebased performance evaluation methods. The results of our experiments indicate that machines can be more accurate in determining the performance of face-aging algorithms. Our work aims towards the development of a complete evaluation framework for age progression methodologies.
Description: This paper is published in the 8th IEEE International Conference on Automatic Face and Gesture Recognition, September 17-19 2008, Amsterdam, The Netherlands.
URI: http://ktisis.cut.ac.cy/handle/10488/279
Rights: IEEE
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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