مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

808
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

ANALYSIS OF SUPERVISED LEARNERS TO EXTRACT KNOWLEDGE OF LIGHTING ANGELS IN FACE IMAGES

Pages

  21-28

Abstract

 Variation of Light intensity and its direction have been the main challenges in many face recognition systems that lead to the different normal and abnormal shadows. Today, various methods are presented for face recognition under different lighting conditions which require previous knowledge about Light source and the angle of radiation as well. In this paper, a new approach is proposed to extract the knowledge of/about the lighting angle/direction in face images based on learning techniques. At First, some effective coefficients on lighting variation are extracted on DCT domain. They will be used to determine lighting classes after normalization. Then, three different learning algorithms, DECISION TREE, SVM, and WAODE (Weightily Averaged One-Dependence Estimators) are used to learn the lighting classes. The algorithms have been tested on the well known Yale B and Extended Yale face databases. The comparative results indicate that the SVM achieves the best average accuracy for classification. On the other hand, WAODE BAYESian approach attains the better accuracy in classes with large lighting angle because of its resistance against data loss.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    NADERI, S., MOGHADAM CHARKARI, N., & KABIR, E.. (2011). ANALYSIS OF SUPERVISED LEARNERS TO EXTRACT KNOWLEDGE OF LIGHTING ANGELS IN FACE IMAGES. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 9(1), 21-28. SID. https://sid.ir/paper/53773/en

    Vancouver: Copy

    NADERI S., MOGHADAM CHARKARI N., KABIR E.. ANALYSIS OF SUPERVISED LEARNERS TO EXTRACT KNOWLEDGE OF LIGHTING ANGELS IN FACE IMAGES. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2011;9(1):21-28. Available from: https://sid.ir/paper/53773/en

    IEEE: Copy

    S. NADERI, N. MOGHADAM CHARKARI, and E. KABIR, “ANALYSIS OF SUPERVISED LEARNERS TO EXTRACT KNOWLEDGE OF LIGHTING ANGELS IN FACE IMAGES,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 9, no. 1, pp. 21–28, 2011, [Online]. Available: https://sid.ir/paper/53773/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button