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A Compositional and Dynamic Model for Face Aging
March 2010 (vol. 32 no. 3)
pp. 385-401
ASCII Text
x 
 
Jinli Suo, Song-Chun Zhu, Shiguang Shan, Xilin Chen, "A Compositional and Dynamic Model for Face Aging," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 385-401, March, 2010.
 
 
BibTex
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@article{ 10.1109/TPAMI.2009.39,
author = {Jinli Suo and Song-Chun Zhu and Shiguang Shan and Xilin Chen},
title = {A Compositional and Dynamic Model for Face Aging},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {32},
number = {3},
issn = {0162-8828},
year = {2010},
pages = {385-401},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2009.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - A Compositional and Dynamic Model for Face Aging
IS - 3
SN - 0162-8828
SP385
EP401
EPD - 385-401
A1 - Jinli Suo,
A1 - Song-Chun Zhu,
A1 - Shiguang Shan,
A1 - Xilin Chen,
PY - 2010
KW - Face aging modeling
KW - face age estimation
KW - generative model
KW - And-Or graph
KW - ANOVA.
VL - 32
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 
Jinli Suo, Graduate University of Chinese Academy of Sciences, Beijing and Lotus Hill Research Institute, China
Song-Chun Zhu, University of California, Los Angeles, Los Angeles and Lotus Hill Research Institute, China
Shiguang Shan, Chinese Academy of Sciences, Beijing
Xilin Chen, Chinese Academy of Sciences, Beijing
In this paper, we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which And nodes decompose a face into parts to describe details (e.g., hair, wrinkles, etc.) crucial for age perception and Or nodes represent large diversity of faces by alternative selections. Then a face instance is a transverse of the And-Or graph—parse graph. Face aging is modeled as a Markov process on the parse graph representation. We learn the parameters of the dynamic model from a large annotated face data set and the stochasticity of face aging is modeled in the dynamics explicitly. Based on this model, we propose a face aging simulation and prediction algorithm. Inversely, an automatic age estimation algorithm is also developed under this representation. We study two criteria to evaluate the aging results using human perception experiments: 1) the accuracy of simulation: whether the aged faces are perceived of the intended age group, and 2) preservation of identity: whether the aged faces are perceived as the same person. Quantitative statistical analysis validates the performance of our aging model and age estimation algorithm.

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Index Terms:
Face aging modeling, face age estimation, generative model, And-Or graph, ANOVA.
Citation:
Jinli Suo, Song-Chun Zhu, Shiguang Shan, Xilin Chen, "A Compositional and Dynamic Model for Face Aging," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 3, pp. 385-401, March 2010, doi:10.1109/TPAMI.2009.39
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