Modeling Age Progression in Young Faces

  title={Modeling Age Progression in Young Faces},
  author={Narayanan Ramanathan and Rama Chellappa},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the ‘revised’ cardioidal strain transformation model proposed in psychophysical studies related to craniofacial growth. The model takes into account anthropometric evidences collected on facial growth and hence is in accordance with the observed growth patterns in human faces across years. We characterize facial growth by… CONTINUE READING
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Publications referenced by this paper.
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Optimal edgebased shape detection

  • H. Moon, R. Chellappa, A. Rozenfeld
  • IEEE transactions on Image Processing,
  • 2002

Social and Applied Aspects of Perceiving Faces

  • R. Alley
  • NJ: Lawrence Erlbaum Associates, Inc,
  • 1998
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