Exemplar-based age progression prediction in children faces

Cheng Ta Shen, Wan Hua Lu, Sheng Wen Shih, Hong Yuan Mark Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

This work aims to develop a system for predicting age progression in children faces. Age progression prediction in children faces is critical to assist missing children searching. An integral module including feature extraction, distance measurement, and face synthesis is devised in this paper to predict faces at different ages. In the proposed method, a curvature-weighted plus bending-energy distance is employed for selecting similar facial components from an aging database. The growth curve of each facial component is used to predict the shape, size, and location of each component at a different age. Thin plate spline method is employed to synthesize a 3-D face model from the predicted components by minimizing the bending energy. Experiments are conducted to test the proposed method with various subjects and the results show that the proposed method is very promising.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011
Pages123-128
Number of pages6
DOIs
Publication statusPublished - 2011
Event13th IEEE International Symposium on Multimedia, ISM 2011 - Dana Point, CA, United States
Duration: Dec 5 2011Dec 7 2011

Publication series

NameProceedings - 2011 IEEE InternationalSymposium on Multimedia, ISM 2011

Conference

Conference13th IEEE International Symposium on Multimedia, ISM 2011
Country/TerritoryUnited States
CityDana Point, CA
Period12/5/1112/7/11

Keywords

  • Age Progression Prediction
  • Missing Children Search
  • Synthesis of Face Image

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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