Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification
作者：
Highlights：
• Developed a novel method to automatically produce approximately axis-symmetrical virtual face images.
• Treated as an effective image preprocessing method.
• Used as a virtual image dictionary learning method for image classification.
• Extensive experiments on different face databases show its effectiveness as an image preprocessing algorithm.
• The strong identification capability of our method is verified in comparison with state-of-the-art dictionary learning algorithms.
摘要
Highlights•Developed a novel method to automatically produce approximately axis-symmetrical virtual face images.•Treated as an effective image preprocessing method.•Used as a virtual image dictionary learning method for image classification.•Extensive experiments on different face databases show its effectiveness as an image preprocessing algorithm.•The strong identification capability of our method is verified in comparison with state-of-the-art dictionary learning algorithms.
论文关键词：Approximately symmetrical face,Virtual sample,Face image preprocessing,Sparse representation,Face recognition
论文评审过程：Received 17 July 2015, Revised 28 October 2015, Accepted 28 December 2015, Available online 25 January 2016, Version of Record 27 February 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.12.017
