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8 CONCLUSION
The medical literature reports that aged wrinkles are
the permanent impressions of expression wrinkles.
Based on this knowledge, we proposed a method that
captures the individuality of a person’s aging-induced
wrinkles. From subject evaluations it is confirmed
that preserving the wrinkles individuality effectively
improves the visual plausibility. We aim to examine
our ideas with image generation approaches based on
Generative Adversarial Network (Liao et al., 2017) to
further improve our results.
Proposed method has a wide scalability in 3DCG
facial animations. In recent years, there are sev-
eral methods dealing with aged faces in 3DCG field
such as high fidelity 3D facial shape reconstruction
(Cao et al., 2015), and aged textures’ optical prop-
erty modeling and rendering (Iglesias-Guitian et al.,
2015). These methods are focusing on accurately re-
constructing or rendering the aged faces in real time.
Our method can provide high resolution aged facial
textures which considers both the facial and wrinkles
individuality. This enables making 3DCG aged facial
animation with better quality. Thus, we aim to real-
ize such system by improving our method in terms of
3DCG facial animation in the future.
ACKNOWLEDGEMENT
This work was supported by JST ACCEL Grant Num-
ber JPMJAC1602, Japan.
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