Eyeglasses removal from facial image based on MVLR

Title: Eyeglasses removal from facial image based on MVLR
Creator: Zhang, Zhigang; Peng, Yu
Relation: Pacific-Rim Conference on Multimedia (PCM 2011). The Era of Interactive Media (Sydney 20-22 December, 2011) p. 101-109
Publisher Link: http://dx.doi.org/10.1007/978-1-4614-3501-3_9
Publisher: Springer
Resource Type: conference paper
Date: 2013
Description: 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.
Subject: multi-variable linear regression; eyeglasses; removal
Identifier: http://hdl.handle.net/1959.13/1066714
Identifier: uon:18192
Identifier: ISBN:9781461435006
Language: eng
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