计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (1): 140-142.DOI: 10.3778/j.issn.1002-8331.2010.01.043

• 图形、图像、模式识别 • 上一篇    下一篇

一种基于位平面的压缩域人脸识别算法

代 毅,肖国强,李占闯   

  1. 西南大学 计算机与信息科学学院,重庆 400715
  • 收稿日期:2008-08-07 修回日期:2008-10-27 出版日期:2010-01-01 发布日期:2010-01-01
  • 通讯作者: 代 毅

Face recognition algorithm based on bit-planes in compressed domain

DAI Yi,XIAO Guo-qiang,LI Zhan-chuang   

  1. Department of Computer & Information Science,Southwest University,Chongqing 400715,China
  • Received:2008-08-07 Revised:2008-10-27 Online:2010-01-01 Published:2010-01-01
  • Contact: DAI Yi

摘要: 针对光照等干扰因素对人脸识别的不利影响,以及人脸图像的维度过高等问题,提出了一种新的基于位平面的压缩域人脸识别算法。该算法综合利用了图像丰富的位平面信息和压缩域内图像处理技术,提出新的人脸特征表达方法。实验结果表明,该方法不仅能够有效地降低图片维度,并且具有较好的鲁棒性。

关键词: 离散余弦变换, 位平面, 主成份分析(PCA)

Abstract: In order to improve robust performance of illumination and greatly reduce the dimension of original face images,this paper proposes a face recognition algorithm based on bit-planes in compressed domain. The method can take the advantages of face feature directly extracted in compressed domain and bit-planes of image,and the reconstructed expression of face image.The experi-mental results indicate that the proposed approach not only increases the recognition rate,but also needs fewer projection vectors.

Key words: Discrete Cosine Transform(DCT), bit-plane, Principal Components Analysis(PCA)

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