Skip to main content
SpringerLink
Log in

A Variation of Local Directional Pattern and Its Application for Facial Expression Recognition

  • Conference paper
Signal Processing, Image Processing and Pattern Recognition (SIP 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 260))

  • 2230 Accesses

Abstract

In this paper we first present an effective image description method for facial expression recognition, which is a variation of local directional pattern (LDP). Then we introduce weightings on the modular’s LDP and investigate the effect on recognition rates with different weightings. Finally, the overlapped block is proposed when using LDP and proposed method. For recognition, this paper adopts PCA+LDP subspace method for feature reduction, and the nearest neighbor classifier is used in classification. The results of extensive experiments on benchmark datasets JAFFE and Cohn-Kanade illustrate that the proposed method not only can obtain better recognition rate but also have speed advantage. Moreover, the appropriately selected weightings and regional overlapping can improve recognition rates for both proposed method and LDP method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Niu, Z., Qiu, X.: Facial expression recognition based on weighted principal component analysis and support vector machines. In: Int. Conf. on Advanced Computer Theory and Engineering. IEEE (2010)

    Google Scholar 

  2. Gritti, T., Shan, C., Jeanne, V., Braspenning, R.: Local Features based Facial Expression Recognition with Face Registration Errors 978-1-4244-1/08/2008. IEEE

    Google Scholar 

  3. Murthy, G.R.S., Jadon, R.S.: Effectiveness of Eigenspaces for Facial Expressions Recognition. International Journal of Computer Theory and Engineering 1(5) (December 2009)

    Google Scholar 

  4. Fasel, B., Luttin, J.: Automatic Facial Expression Analysis: a survey. Pattern Recognition 36(1), 259–275 (2003)

    Article  MATH  Google Scholar 

  5. Zhang, Z., et al.: Comparition between Geometry-Based and Gobor-wavelet-based Facial Expression Recognition Using Multi-layer Perception. In: Proc. IEEE Int. Conf. Auto. Face Gesture Recog., pp. 454–459 (April 1998)

    Google Scholar 

  6. Praseeda Lekshmi, V., Sasikumar, M.: Analysis of Facial Expression using Gabor and SVM. International Journal of Recent Trends in Engineering 1(2) (May 2009)

    Google Scholar 

  7. Xue, W.: Facial Expression Recognition Based on GaborFilter and SVM. Chinese Journal of Electronics 15(4A) (2006)

    Google Scholar 

  8. Shan, C., Gong, S., McOwan, P.W.: Facial expression recognition based on Local Binary Patterns:A comprehensive study. Image and Vision Computing 27, 803–816 (2009)

    Article  Google Scholar 

  9. Kabir, M.H., Jabid, T., Chae, O.: A Local Directional Pattern Variance (LDPv) based Face Descriptor for Human Facial Expression Recognition. IEEE (2010), doi:10.1109/AVSS.2010. 9978 -0-7695-4264-5/10 © 2010 IEEE

    Google Scholar 

  10. Ojala, T., Pietikainen, M.: Multiresolution Gray-Scale and Rotation with Local Binary Patterns and Linear Programming. IEEE Trans.Pattern Anal. Mach.Intell. 29(6), 915–928 (2007)

    Article  Google Scholar 

  11. Jabid, T., Kabir, M.H., Chae, O.S.: Local Directional Pattern (LDP) for Face Recognition. In: IEEE Int. Conf. Consum. Electron. 2010, pp. 329–330 (2010)

    Google Scholar 

  12. Jabid, T., Kabir, M.H., Chae, O.S.: Local Directional Pattern(LDP)-A robust Descriptor for Object Recognition. In: IEEE Int. Conf. on AVSS (2010) 978-0-7695-4264-5/10

    Google Scholar 

  13. Jabid, T., Kabir, M.H., Chae, O.S.: Gender Classification using Directional Pattern(LDP). IEEE Pattern Recognition (2010)

    Google Scholar 

  14. Jabid, T., Kabir, M.H., Chae, O.S.: Robust Facial Expression Recognition Based on Local Directional Pattern. ETRI Jounal 32(5) (October 2010)

    Google Scholar 

  15. Jaffe dataset, http://www.kasrl.org/jaffe.html

  16. Kanade, T., Cohn, J., Tian, Y.: Comprehensive Database for Facial Expression Analysis. In: Proc. IEEE Int’l. Conf. Face and Gesture Recognition (AFGR 2000), pp. 46–53 (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Information, Yunnan Normal University, Kunming, China

    Tianwei Xu, Juxiang Zhou & Yunqiong Wang

Authors
  1. Tianwei Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Juxiang Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yunqiong Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. University of Porto, 4099-002, Porto, Portugal

    Carlos Ramos

  4. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, T., Zhou, J., Wang, Y. (2011). A Variation of Local Directional Pattern and Its Application for Facial Expression Recognition. In: Kim, Th., Adeli, H., Ramos, C., Kang, BH. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2011. Communications in Computer and Information Science, vol 260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27183-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27183-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27182-3

  • Online ISBN: 978-3-642-27183-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation