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 journalArticle

81 Citations (Scopus)

Abstract

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
Volume27
Issue number5
DOIs
Publication statusPublished - 2005 May 1

Fingerprint

Error Compensation
Error compensation
Glass
Passive Cutaneous Anaphylaxis
Face recognition
Face Recognition
Occlusion
Trace
Experimental Results

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Cite this

Glasses removal from facial image using recursive error compensation. / Park, Jeong Seon; Oh, You Hwa; Ahn, Sang Chul; Lee, Seong Whan.

In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 5, 01.05.2005, p. 805-811.

Research output: Contribution to journalArticle

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