Age progression in Human Faces : A Survey

Facial aging, a new dimension that has recently been added to the problem of face recognition, poses interesting theoretical and practical challenges to the research community. The problem which originally generated interest in the psychophysics and human perception community, has recently found enhanced interest in the computer vision community. How do humans perceive age ? What constitutes an age-invariant signature that can be derived from faces ? How compactly can the facial growth event be described ? How does facial aging impact recognition performance ? In this paper, we give a thorough analysis on the problem of facial aging and further provide a complete account of the many interesting studies that have been performed on this topic from different fields. We offer a comparative analysis of various approaches that have been proposed for problems such as age estimation, appearance prediction, face verification etc. and offer insights into future research on this topic. 1

[1]  D'arcy W. Thompson,et al.  On Growth and Form , 1917, Nature.

[2]  Melvin L. Moss.  The human face—An account of the postnatal growth and development of the craniofacial skeleton , 1971 .

[3]  R. Shaw,et al.  The role of symmetry in event perception. , 1974 .

[4]  J. B. Pittenger,et al.  Aging faces as viscal-elastic events: implications for a theory of nonrigid shape perception. , 1975, Journal of experimental psychology. Human perception and performance.

[5]  J. B. Pittenger,et al.  Perceptual information for the age level of faces as a higher order invariant of growth. , 1979, Journal of experimental psychology. Human perception and performance.

[6]  J. B. Pittenger,et al.  The perception of human growth. , 1980, Scientific American.

[7]  J. B. Pittenger,et al.  Wrinkling and head shape as coordinated sources of age-level information , 1980 .

[8]  J T Todd,et al.  Perception of growth: a geometric analysis of how different styles of change are distinguished. , 1981, Journal of experimental psychology. Human perception and performance.

[9]  J T Todd,et al.  The perception of growth in three dimensions , 1983, Perception & psychophysics.

[10]  V. Bruce,et al.  Further experiments on the perception of growth in three dimensions , 1989, Perception & psychophysics.

[11]  D. Perrett,et al.  Perception of age in adult Caucasian male faces: computer graphic manipulation of shape and colour information , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[12]  C. Cacou.  Anthropometry of the head and face , 1995 .

[13]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[14]  A. O'Toole,et al.  Three-Dimensional Caricatures of Human Heads: Distinctiveness and the Perception of Facial Age , 1997, Perception.

[15]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[16]  Niels da Vitoria Lobo,et al.  Age Classification from Facial Images , 1999, Comput. Vis. Image Underst..

[17]  A.J O'Toole,et al.  3D shape and 2D surface textures of human faces: the role of "averages" in attractiveness and age , 1999, Image Vis. Comput..

[18]  Bernard Tiddeman,et al.  Prototyping and Transforming Facial Textures for Perception Research , 2001, IEEE Computer Graphics and Applications.

[19]  Timothy F. Cootes,et al.  Toward Automatic Simulation of Aging Effects on Face Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Yajie Tian,et al.  Handbook of face recognition , 2003 .

[21]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[22]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[23]  C. Christodoulou,et al.  Comparing different classifiers for automatic age estimation , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[24]  Maulin R. Gandhi.  A Method for Automatic Synthesis of Aged Human Facial Images , 2004 .

[25]  Hong Chen,et al.  A high resolution grammatical model for face representation and sketching , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[26]  Bernard Tiddeman,et al.  Towards Realism in Facial Image Transformation: Results of a Wavelet MRF Method , 2005, Comput. Graph. Forum.

[27]  Rama Chellappa,et al.  Face Processing: Advanced Modeling and Methods , 2006, J. Electronic Imaging.

[28]  Rama Chellappa,et al.  Face Verification Across Age Progression , 2006, IEEE Transactions on Image Processing.

[29]  Yu Zhang,et al.  Learning from facial aging patterns for automatic age estimation , 2006, MM '06.

[30]  Karl Ricanek,et al.  MORPH: a longitudinal image database of normal adult age-progression , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[31]  Rama Chellappa,et al.  Modeling Age Progression in Young Faces , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[32]  Matti Pietikäinen,et al.  Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Song-Chun Zhu,et al.  A Multi-Resolution Dynamic Model for Face Aging Simulation , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[34]  Radford M. Neal.  Pattern Recognition and Machine Learning , 2007, Technometrics.

[35]  K. Ricanek,et al.  Aspects of Age Variation in Facial Morphology Affecting Biometrics , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.

[36]  Haizhou Ai,et al.  Demographic Classification with Local Binary Patterns , 2007, ICB.

[37]  Zhi-Hua Zhou,et al.  Automatic Age Estimation Based on Facial Aging Patterns , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Stefano Soatto,et al.  A Study of Face Recognition as People Age , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[39]  R. Chellappa,et al.  A Non-generative Approach for Face Recognition Across Aging , 2008, 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems.

[40]  Yun Fu,et al.  Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression , 2008, IEEE Transactions on Image Processing.

[41]  Yiying Tong,et al.  Face recognition with temporal invariance: A 3D aging model , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[42]  Yun Fu,et al.  Human Age Estimation With Regression on Discriminative Aging Manifold , 2008, IEEE Transactions on Multimedia.