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Detection and Recovery of Occluded Face Images Based on Correlation  

Lee, Ji-Eun (Division of Electrical and Computer Engineering, Ajou University)
Kwak, No-Jun (Division of Electrical and Computer Engineering, Ajou University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.48, no.5, 2011 , pp. 72-83 More about this Journal
Abstract
In this paper, we propose a method to detect and recover the occluded parts of face images using the correlation between pairs of pixels. In a training stage, correlation coefficients between every pairs of pixels are calculated using the occlusion-free face images. Once a new occluded face image is shown, the occluded area is detected and recovered using the correlation coefficients obtained in the training stage. We compare the performance of the proposed method with the conventional method based on PCA. The results show that the proposed method detects and recovers occluded area with much smaller noises than the conventional PCA based method. Moreover, recovered images by the proposed method were more smooth with reduced blurring effect.
Keywords
상관관계;가려진 얼굴 영상;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 C. Wu, C. Liu, H. Y. Shum, Y. Q. Xy and Z. Zhang, "Automatic eyeglasses romoval from face images," Asian conference on Computer Vision, IEEE Trans. Pattern Analysis and Machine Intelligence., Vol. 26, no. 3, pp. 322-336, March 2004.
2 박현, 문영식, "2차원 칼라 얼굴 영상에서 반복적인 PCA 재구성을 이용한 자동적인 잡음 제거," 대한전자공학회논문지, 제43권 제2호, 62-71쪽, 2006년 3월
3 Z. M. Wang and J. H. Tao, "Reconstruction of partially occluded face by fast recursive PCA," International Conference on Computational Intelligence and Security Workshops, pp. 304-307, Dec 2007.
4 S. xiaoFeng, T. Min, C. deren and T. RuoFeng, "A two step method to recover occluded part of face," International Conference on Information Sciences and Interaction Sciences, pp. 169-173, June 2010.
5 B. W. Hwang and S. W. Lee, "Reconstruction of partially damaged face images based on a morphable face model." IEEE Trans. Pattern analysis and Machine Intelligence, Vol. 25. no. 3. pp. 365-372, March 2003.   DOI   ScienceOn
6 D. Lin and X. Tang, "Quality-driven face occlusion detection and recovery," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-7, June 2007.
7 BioID face database http://www.bioid.com/support/downloads/software/bioid-face-database.html
8 오유화, 안상철, 김형곤, 김익재, 이성환, "반복적인 PCA 재구성을 이용한 얼굴 영상에서의 안경 제거," 대한전자공학회논문지, 제41권 제3호, 35-49쪽, 2004년 5월