Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/9860
Title: | Facial age simulation using age-specific 3D models and recursive PCA | Authors: | Maronidis, Anastasios Lanitis, Andreas |
metadata.dc.contributor.other: | Μαρωνίδης, Αναστάσιος Λανίτης, Ανδρέας |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Age simulation;Age specific statistical models;Anthropometric measurements;Recursive PCA | Issue Date: | 1-Feb-2013 | Source: | 8th International Conference on Computer Vision Theory and Applications, VISAPP 2013; Barcelona; Spain; 21 February 2013 through 24 February 2013 | Abstract: | Facial age simulation is a topic that has been gaining increasing interest in computer vision. In this paper, a novel age simulation method that utilizes age-specific shape and texture models is proposed. During the process of generating age-specific shape models, 3D face measurements acquired from real human faces are used in order to tune a generic 3D face shape model to represent face shapes belonging to certain age groups. A number of diagnostic studies have been conducted in order to validate the compatibility of the tuned shape models with the corresponding age groups. The shape age-simulation process utilizes agespecific shape models that incorporate age-related constraints during a 3D shape reconstruction phase. Age simulation is completed by predicting the texture at the target age based on a recursive PCA method that aims to superimpose age-related texture modifications in a way that preserves identity-related characteristics of the subject in the source image. Preliminary results indicate the potential of the proposed method. | URI: | https://hdl.handle.net/20.500.14279/9860 | ISBN: | 978-989856547-1 | Type: | Conference Papers | Affiliation : | Cyprus University of Technology | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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