Abstract
Eyeglass is a kind of common interfering factor in face recognition and analysis. A statistical learning method is presented to remove eyeglass from an input facial image for this problem. First, training samples are collected from facial images wearing eyeglasses and their corresponding facial images without eyeglasses. Then, a model of multi-variable linear regression is established based on linear correlation assumption between two sets of samples. Finally, the parameters matrix is solved by which the eyeglasses can be removed from an input facial image. Experimental results have demonstrated that the proposed algorithm is efficient and practical. The method is easy to be realized without any auxiliary equipment.
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Acknowledgments
The authors would like to thank Professor Xiangjian He for valuable suggestions.
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Zhang, Z., Peng, Y. (2013). Eyeglasses Removal from Facial Image Based on MVLR. In: The Era of Interactive Media. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3501-3_9
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DOI: https://doi.org/10.1007/978-1-4614-3501-3_9
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