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Age Synthesis and Estimation via Faces: A Survey

Yun Fu, Guodong Guo, Huang, T S·2010·IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/tpami.2010.36
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Abstract

Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance. Derived from rapid advances in computer graphics and machine vision, computer-based age synthesis and estimation via faces have become particularly prevalent topics recently because of their explosively emerging real-world applications, such as forensic art, electronic customer relationship management, security control and surveillance monitoring, biometrics, entertainment, and cosmetology. Age synthesis is defined to rerender a face image aesthetically with natural aging and rejuvenating effects on the individual face. Age estimation is defined to label a face image automatically with the exact age (year) or the age group (year range) of the individual face. Because of their particularity and complexity, both problems are attractive yet challenging to computer-based application system designers. Large efforts from both academia and industry have been devoted in the last a few decades. In this paper, we survey the complete state-of-the-art techniques in the face image-based age synthesis and estimation topics. Existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are also provided with systematic discussions.

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Research works printed but not linked: 169

  1. Zebrowitz, 1997, Reading Faces: Window to the Soul?
  2. 10.1109/CVPR.2008.4587609 · DOI
  3. Zyga, 2008, Intelligent Computers See Your Human Traits
  4. 10.1016/j.jvlc.2009.01.011 · DOI
  5. 2010, Aging of the Face
  6. 10.1068/p241059 · DOI
  7. 2010, Age Progression
  8. Mancusi, 2010, Image Modification, Aging Progression and Age Regression
  9. 10.1111/j.1467-9450.2009.00726.x · DOI
  10. 10.1109/CVPR.2009.5206828 · DOI
  11. 10.1049/ic:20050076 · DOI
  12. 10.1111/j.1467-8659.2007.01050.x · DOI
  13. 2010, Electronic Customer Relationship Management (ECRM)
  14. 10.1109/TIP.2008.924280 · DOI
  15. 10.1109/TSMCB.2003.817091 · DOI
  16. 10.1007/978-3-540-25948-0_99 · DOI
  17. Ricanek, Craniofacial Aging on the Eigenface Biometric, 249
  18. 10.1109/IJCNN.2005.1556210 · DOI
  19. Patterson, Automatic Representation of Adult Aging in Facial Images, 171
  20. 10.1109/BTAS.2007.4401953 · DOI
  21. 10.1109/TIP.2006.881993 · DOI
  22. 10.1109/ICPR.2006.230 · DOI
  23. 10.1145/311535.311556 · DOI
  24. 10.1109/ICSMC.2003.1244468 · DOI
  25. 2010, Cosmetic Surgery
  26. 10.1145/237170.237281 · DOI
  27. 10.1109/icsmc.2004.1400651 · DOI
  28. 10.1109/TCSVT.2006.877398 · DOI
  29. 10.1109/WACV.2008.4544009 · DOI
  30. Alley, 1988, Social and Applied Aspects of Perceiving Faces
  31. Stone, 2010, The Aging Process of the Face & Techniques of Rejuvenation
  32. 10.1037/0033-2909.100.1.3 · DOI
  33. 10.1007/978-3-7091-6344-3_2 · DOI
  34. 10.1109/TMM.2008.921847 · DOI
  35. 10.1109/TPAMI.2007.70733 · DOI
  36. 10.1109/ICME.2007.4284595 · DOI
  37. 10.1109/ICCV.2007.4409050 · DOI
  38. 10.1109/ICME.2007.4284917 · DOI
  39. 10.1145/1631272.1631287 · DOI
  40. 10.1109/CVPR.2007.383055 · DOI
  41. 10.1007/978-3-540-45226-3_119 · DOI
  42. 10.1109/VSMM.2001.969698 · DOI
  43. 10.1109/SICE.2002.1195171 · DOI
  44. Iga, A Gender and Age Estimation System from Face Images, 756
  45. 10.1109/SICE.2006.314846 · DOI
  46. 10.1109/SICE.2007.4421467 · DOI
  47. 10.1109/SICE.2007.4421466 · DOI
  48. 10.1109/FGR.2006.102 · DOI
  49. 10.1016/j.forsciint.2007.03.015 · DOI
  50. 10.3758/BF03204298 · DOI
  51. 10.1109/CVPR.2006.187 · DOI · Paper page
  52. Farkas, 1994, Anthropometry of the Head and Face
  53. 10.1097/00006534-196508000-00013 · DOI
  54. 10.1080/14640749108400966 · DOI
  55. 10.1111/j.1467-9280.1996.tb00338.x · DOI
  56. 10.1068/p271233 · DOI
  57. 10.1111/j.1467-9280.1990.tb00079.x · DOI
  58. Braun, 2001, Beautycheck-Causes and Consequences of Human Facial Attractiveness(Summary)
  59. 10.1037/0012-1649.17.5.650 · DOI
  60. 10.1016/S0262-8856(99)00012-8 · DOI
  61. 10.1068/p260719 · DOI
  62. 10.1145/800193.569955 · DOI
  63. 10.1145/1103900.1103906 · DOI
  64. 10.1109/CVPR.2005.377 · DOI · Paper page
  65. 10.1201/b10705 · DOI
  66. 10.1023/A:1020393915769 · DOI
  67. 10.1145/218380.218407 · DOI
  68. 10.1145/37402.37405 · DOI
  69. 10.1109/TPAMI.2003.1240113 · DOI
  70. 10.2307/1578048 · DOI
  71. 10.1016/0262-8856(91)90022-H · DOI
  72. 10.1098/rspb.1997.0127 · DOI
  73. 10.1006/cviu.1995.1004 · DOI · Paper page
  74. 10.1037/t27734-000 · DOI · Paper page
  75. 10.1109/76.954495 · DOI
  76. 10.1109/MCG.1982.1674492 · DOI
  77. 10.1109/TNN.2002.1021892 · DOI
  78. Wen, 2004, 3D Face Processing: Modeling, Analysis and Synthesis
  79. 10.1109/TMM.2008.2001355 · DOI
  80. 10.1007/978-1-84628-907-1_1 · DOI
  81. 10.1109/PCCGA.2002.1167882 · DOI
  82. Kuratate, A Simple Method for Modeling Wrinkles on Human Skin, 166
  83. Pyun, An Example-Based Approach for Cloning Facial Expressions, 167
  84. 10.1109/CVPR.2001.991046 · DOI
  85. 10.1109/ICIP.2004.1421876 · DOI
  86. 10.1145/383259.383289 · DOI
  87. 10.1109/34.908964 · DOI
  88. 10.1068/p220257 · DOI
  89. 10.1145/142920.134003 · DOI
  90. 10.1109/CVPR.2000.855872 · DOI
  91. 10.1145/237170.237196 · DOI
  92. 10.1145/280814.280825 · DOI
  93. 10.1126/science.272.5270.1905 · DOI
  94. 10.1109/34.598230 · DOI
  95. 10.1109/ICCV.1998.710791 · DOI
  96. 10.1007/BFb0054760 · DOI
  97. 10.1109/ICCV.2007.4409069 · DOI · Paper page
  98. 10.1007/978-3-540-49346-4_3 · DOI
  99. 10.5962/bhl.title.11332 · DOI
  100. 10.1038/nrg1835 · DOI
  101. Chellappa, Face Recognition across Age Progression
  102. 10.1037/0096-1523.1.4.374 · DOI
  103. 10.1037//0096-1523.5.3.478 · DOI
  104. 10.1038/scientificamerican0280-132 · DOI
  105. 10.1037/0096-1523.7.4.855 · DOI
  106. 10.3758/BF03202839 · DOI
  107. 10.1037/0096-1523.12.2.149 · DOI
  108. 10.3758/BF03208149 · DOI
  109. 10.1098/rspb.1995.0021 · DOI
  110. Mukaida, Facial Image Synthesis Using Age Manipulation Based on Statistical Feature Extraction
  111. 10.1109/CVPR.1991.139758 · DOI
  112. 10.1142/9789814503860_0013 · DOI
  113. 10.1002/vis.4340060403 · DOI
  114. 10.1007/s003710050171 · DOI
  115. 10.1109/AFGR.2004.1301624 · DOI
  116. 10.1109/ICIP.2008.4712088 · DOI
  117. 10.1109/34.993553 · DOI
  118. 10.1109/34.927467 · DOI · Paper page
  119. 10.1016/j.patrec.2006.02.007 · DOI · Paper page
  120. Patterson, Comparison of Synthetic Face Aging to Age Progression by Forensic Sketch Artist, 247
  121. 10.1109/AFGR.2008.4813337 · DOI
  122. 10.1109/CVPR.1994.323894 · DOI
  123. 10.1006/cviu.1997.0549 · DOI
  124. 2010, The FG-NET Aging Database, [Online]. Available: http://www-prima.inrialpes.fr/FGnet/
  125. 10.1109/SIU.2007.4298656 · DOI
  126. 10.1145/1180639.1180711 · DOI · Paper page
  127. 10.1126/science.290.5500.2268 · DOI
  128. Fu, 2005, Locally Linear Embedded Eigenspace Analysis
  129. 10.1109/TPAMI.2007.250598 · DOI
  130. 10.1126/science.290.5500.2323 · DOI · Paper page
  131. 10.1126/science.290.5500.2319 · DOI · Paper page
  132. 10.1109/TIP.2006.881945 · DOI
  133. He, 2003, Locality Preserving Projections
  134. 10.1109/TPAMI.2005.55 · DOI
  135. 10.1109/TIP.2008.2006400 · DOI
  136. 10.1109/TPAMI.2006.244 · DOI
  137. 10.1109/ISCIS.2008.4717926 · DOI
  138. 10.1109/34.879790 · DOI · Paper page
  139. 10.1007/978-3-540-74549-5_49 · DOI
  140. 10.1109/TIP.2002.999679 · DOI
  141. 10.1007/978-3-642-01793-3_14 · DOI
  142. 10.1109/CVPR.2008.4587405 · DOI
  143. 10.1109/ICASSP.2008.4517715 · DOI
  144. 10.1109/AFGR.2008.4813314 · DOI
  145. 10.1109/CVPR.2009.5206681 · DOI
  146. 10.1109/TPAMI.2007.56 · DOI · Paper page
  147. Vapnik, 1998, Statistical Learning Theory
  148. Lian, Age Estimation Using a Min-Max Modular Support Vector Machine, 83
  149. 10.1109/ICCV.2009.5459438 · DOI
  150. Kanno, 2001, Classification of Age Group Based on Facial Images of Young Males by Using Neural Networks, IEICE Trans. Information and Systems, E84-D, 1094
  151. Weisberg, 2004, Applied Linear Regression
  152. 10.1109/ICCV.2005.117 · DOI
  153. 10.1023/B:VISI.0000013087.49260.fb · DOI · Paper page
  154. 10.1145/1631272.1631334 · DOI
  155. Guo, A Probabilistic Fusion Approach to Human Age Prediction
  156. 10.1109/FGR.2006.78 · DOI · Paper page
  157. 2010, MORPH Face Database
  158. 2010, LHI Image Database
  159. 2010, Human and Object Interaction Processing (HOIP) Face Database, Softopia Japan Foundation
  160. 10.1109/ICMV.2007.4469272 · DOI
  161. 2008, Gallaghers Web Collected Database
  162. 10.1155/2008/239480 · DOI
  163. 10.1109/ICSMC.2005.1571681 · DOI
  164. 10.1109/CVPR.2007.383410 · DOI
  165. 10.1109/ICPR.2008.4761364 · DOI
  166. 10.1109/CIMCA.2008.23 · DOI
  167. 10.1007/3-540-47969-4_30 · DOI
  168. 10.1109/ICCV.2003.1238452 · DOI
  169. 10.1109/ICASSP.2009.4959721 · DOI

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Metadata

Authors
Fu, Y., Guo, G., & Huang, T. S.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2010-11
Volume
32
Issue
11
Pages
1955-1976
ISSN
0162-8828
DOI
10.1109/tpami.2010.36
Cited by
569
References
1
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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