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 language | English |
|---|---|
| Pages (from-to) | 805-811 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 27 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2005 May |
Keywords
- 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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Cite this
Park, J. S., Oh, Y. H., Ahn, S. C., & Lee, S. W. (2005). Glasses removal from facial image using recursive error compensation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5), 805-811. https://doi.org/10.1109/TPAMI.2005.103