Reconstruction of partially damaged face images based on a morphable face model

Bon Woo Hwang, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

98 Citations (Scopus)

Abstract

This paper proposes a method for reconstructing partially damaged faces based on a morphable face model. Faces are modeled by linear combinations of prototypes of shape and texture. With the shape and texture information from an undamaged region only, we can estimate optimal coefficients for linear combinations of prototypes of shape and texture by simple projection for least-square minimization (LSM). Our experimental results show that reconstructed faces are very natural and plausible like real photos.

Original languageEnglish
Pages (from-to)365-372
Number of pages8
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume25
Issue number3
DOIs
Publication statusPublished - 2003 Mar

Keywords

  • Damaged face
  • Face reconstruction
  • Face synthesis
  • Least-square minimization
  • Morphable face model

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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