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International Conference on Information Security and Assurance

ISA 2009: Advances in Information Security and Assurance pp 100–109Cite as

Recognizing Partially Occluded Faces from a Single Exemplar Image Per Person

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5576))

Abstract

Despite remarkable progress on human face recognition, little attention has been given to robustly recognizing partially occluded faces. In this paper, we propose a new approach to recognize partially occluded faces when only one exemplar image per person is available. In this approach, a face image is represented as an array of Patch PCA (PPCA) extracted from a partitioned face image containing information of local regions instead of holistic information of a face. An adaptive weighting technique is utilized to assign proper weights to PPCA features to adjust the contribution of each local region of a face in terms of the richness of identity information and the likelihood of occlusion in a local region. The encouraging experimental results using AR face database demonstrate that the proposed method provides a new solution to the problem of robustly recognizing partially occluded faces in single model databases.

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References

  1. Martínez, A.M.: Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class. IEEE Trans. Pattern Anal. Mach. Intell. 24(6), 748–763 (2002)

    Article  Google Scholar 

  2. Tan, X., Chen, S., Zhou, Z.H., Zhang, F.: Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Trans. Neural Networks 16(4), 875–886 (2005)

    Article  Google Scholar 

  3. Martinez, A.M., Benavente, R.: The AR Face Database, CVC Technical Report No. 24, URL (June 1998), http://rvl1.ecn.purdue.edu/~aleix/aleix_face_DB.html

  4. Kirby, M., Sirovich, L.: Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces. IEEE Trans. Pattern Analysis and Machine Intelligence 12(1), 103–108 (1990)

    Article  Google Scholar 

  5. Moghaddam, B., Pentland, A.: Probabilistic Visual Learning for Object Representation. IEEE Trans. Pattern Analysis and Machine Intelligence 19(7), 696–710 (1997)

    Article  Google Scholar 

  6. Sirovich, L., Kirby, M.: A Low-Dimensional Procedure for the Characterization of Human Faces. J. Optical Soc. Am. A 4(3), 519–524 (1987)

    Article  Google Scholar 

  7. Turk, M., Pentland, A.: Eigenfaces for Recognition. J. Cognitive Neuroscience 3(1), 71–86 (1991)

    Article  Google Scholar 

  8. Chen, S., Zhu, Y.: Subpattern-based principle component analysis. Pattern Recognition 37(5), 1081–1083 (2004)

    Article  Google Scholar 

  9. Shannon, C.E.: A mathematical theory of communication. Bell Syst. Tech. J. 27, 379-423, 623–656 (1948)

    Google Scholar 

  10. Gottumukkal, R., Asari, V.K.: An Improved Face Recognition Technique Based on Modular PCA Approach. Pattern Recognition Letters 25(4), 429–436 (2004)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran

    Hamidreza Rashidy Kanan

  2. Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran, 1439955471

    Hamidreza Rashidy Kanan & M. Shahram Moin

Authors
  1. Hamidreza Rashidy Kanan
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  2. M. Shahram Moin
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Editor information

Editors and Affiliations

  1. Computer Engineering Department, Kyungnam University, 449, Wolyong-dong, 631-701, Kyungnam, Masan, Korea

    Jong Hyuk Park

  2. Institute of Communications Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan

    Hsiao-Hwa Chen

  3. School of Computer Science,, University of Oklahoma, 200 Felgar Street, 73019, P.O. Box, Norman, OK, USA

    Mohammed Atiquzzaman

  4. School of Computer Engineering, Hanshin University, Kyeong-Gi, Osan, Korea

    Changhoon Lee

  5. Division of Multimedia, Hannam University, Daejeon, Korea

    Tai-hoon Kim

  6. Division of Computer Engineering, Mokwon University, Daejeon, Korea

    Sang-Soo Yeo

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© 2009 Springer-Verlag Berlin Heidelberg

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Kanan, H.R., Moin, M.S. (2009). Recognizing Partially Occluded Faces from a Single Exemplar Image Per Person. In: Park, J.H., Chen, HH., Atiquzzaman, M., Lee, C., Kim, Th., Yeo, SS. (eds) Advances in Information Security and Assurance. ISA 2009. Lecture Notes in Computer Science, vol 5576. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02617-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-02617-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02616-4

  • Online ISBN: 978-3-642-02617-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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