Glasses removal from facial image using recursive error compensation

Jeong Seon Park, You Hwa Oh, Sang Chul Ahn, Seong Whan Lee

Research output: Contribution to journalArticlepeer-review

130 Citations (Scopus)


In this paper, we propose a new method of removing glasses from a human frontal facial image. We first detect the regions occluded by the glasses and generate a natural looking facial image without glasses by recursive error compensation using PCA reconstruction. The resulting image has no trace of the glasses frame or of the reflection and shade caused by the glasses. The experimental results show that the proposed method provides an effective solution to the problem of glasses occlusion and we believe that this method can also be used to enhance the performance of face recognition systems.

Original languageEnglish
Pages (from-to)805-811
Number of pages7
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number5
Publication statusPublished - 2005 May

Bibliographical note

Funding Information:
This research was supported by the Intelligent Robotics Development Program, one of the 21st Century Frontier R&D Programs funded by the Ministry of Science and Technology of Korea. A preliminary version of this paper has been presented at the International Conference on Audio-and Video-Based Biometric Person Authentication, Guildford, U.K., June 2003.


  • Face recognition
  • Face reconstruction
  • Face synthesis
  • Glasses removal
  • Recursive error compensation

ASJC Scopus subject areas

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


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