Advertisement

Glasses Removal from Facial Image Using Recursive PCA Reconstruction

  • Jeong-Seon Park
  • You Hwa Oh
  • Sang Chul Ahn
  • Seong-Whan Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

This paper proposes a new method of removing glasses from human frontal face images. We first detect regions occluded by glasses. Then we generate a naturally looking glassless facial image by recursive PCA reconstruction. The resulting image has no trace of glass frame, nor the reflection and shade made by the glasses. The experimental results show that the proposed method is an effective solution to the problem of glass occlusion, and, we believe, it can be applied to enhancing the performance of face recognition systems.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Chellappa, R., Wilson, C. L., Sirohey, S.: Human and Machine Recognition of Faces: A Survey. Proc. of IEEE, Vol. 83, No. 5 (May 1995) 705–740Google Scholar
  2. [2]
    Jing, Z., Mariani, R.: Glasses Detection and Extraction by Deformable Contour. Proc. of Int’l Conf. on Pattern Recognition, Barcelona, Spain (2000) 933–936Google Scholar
  3. [3]
    Lanitis, A., Taylor, C. J., Cootes, T. F.: Automatic Interpretation and Coding of Face Images Using Flexible Models. ííIEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7 (July 1997) 743–756CrossRefGoogle Scholar
  4. [4]
    Saito, Y., Kenmochi, Y., Kotani, K.: Estimation of eyeglassless facial images using principal component analysis. Proc. of Int’l Conf. on Image Processing, Vol. 4, Kobe, Japan (Oct. 1999) 197–201Google Scholar
  5. [5]
    Wu H. et al.: Glasses Frame Detection with 3D Hough Transform. Proc. of 16th Int. Conf. on Pattern Recognition, Vol. II, Quebec, Canada (Aug. 2002) 346–349Google Scholar
  6. [6]
    Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience Vol. 12, No. 1 (1991) 71–86CrossRefGoogle Scholar
  7. [7]
    Kim, J.K. et al.: Automatic FDP/FAP generation from an image sequence. Proc. of IEEE Int’l Symposium of Circuits and Systems, Geneva, Switzerland (May 2000) 40–43Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jeong-Seon Park
    • 1
  • You Hwa Oh
    • 1
    • 2
  • Sang Chul Ahn
    • 2
  • Seong-Whan Lee
    • 1
  1. 1.Center for Artificial Vision ResearchKorea UniversitySeoulKorea
  2. 2.Imaging Media Research CenterKorea Institute of Science and TechnologySeoulKorea

Personalised recommendations