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

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Information Seminar Paper

Title

GEOMETRIC AND TEXTURE BASED FACIAL EXPRESSION RECOGNITION

Pages

  -

Keywords

Not Registered.

Abstract

 COMBINATION OF GEOMETRIC AND TEXTURE FEATURES ARE USED TO FACIAL EXPRESSION RECOGNITION. THESE FEATURES ARE COMPARED WITH GLOBAL FEATURES (KERNEL-PCA OF FACE IMAGE AND ORIGINAL FACE IMAGE). IN GEOMETRIC FEATURES SET, DISTANCES AND ANGLES BETWEEN FACE COMPONENTS ARE PROPOSED FOR EMOTION DISCRIMINATION. IN ORDER TO FEATURES ANALYSIS, SENSITIVITY OF RECOGNITION TO THE NOISE AND PERSON DEPENDENCY WAS INVESTIGATED. IN THE PERSON DEPENDENCY ANALYSIS, 3 VALIDATION METHODS, LOO, HALF LOO AND TEN-FOLD, ARE IMPLEMENTED. RESULTS SHOW THAT RECOGNITION RATE CAN IMPROVE UNTIL 96% WHILE SYSTEM LEARNING IS DEPENDENT TO PERSON. KERNEL-PCA IN COMPARE TO PROPOSED FEATURES IS MORE SENSITIVE TO HAVE A PERSON DEPENDENT OR INDEPENDENT SYSTEM, AS RECOGNITION RATE DECREASE 88.35 TO 55% AND 84.74% TO 74% RESPECTIVELY. NOISE ANALYSIS DEMONSTRATED THAT GLOBAL FEATURES ARE SENSITIVE TO THE NOISE.

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  • References

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  • Cite

    APA: Copy

    MOHAMMADIAN, AMIN, AGHAEINIA, HASSAN, & TOWHIDKHAH, FARZAD. (2012). GEOMETRIC AND TEXTURE BASED FACIAL EXPRESSION RECOGNITION. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/926040/en

    Vancouver: Copy

    MOHAMMADIAN AMIN, AGHAEINIA HASSAN, TOWHIDKHAH FARZAD. GEOMETRIC AND TEXTURE BASED FACIAL EXPRESSION RECOGNITION. 2012. Available from: https://sid.ir/paper/926040/en

    IEEE: Copy

    AMIN MOHAMMADIAN, HASSAN AGHAEINIA, and FARZAD TOWHIDKHAH, “GEOMETRIC AND TEXTURE BASED FACIAL EXPRESSION RECOGNITION,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2012, [Online]. Available: https://sid.ir/paper/926040/en

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