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    • Thesis & Report, BSc (Computer Science and Engineering)
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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    An efficient facial expression recognition method using mean And standard deviation

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    12101074,12101105_CSE.pdf (1.266Mb)
    Date
    8/21/2017
    Publisher
    BRAC University
    Author
    Laboni, Pragna
    Zaman, Nusrat
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/8705
    Abstract
    Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk about a fully automated system, it might be used to have an interaction between a human being and a computer. Here a user without using his hands can give command to system with the help of facial expression. We are proposing a facial expression recognition model analyzes an image of a face and detects alignments to six different emotions which are disgust, annoy, surprise, crying, happiness and neutral. In this research we choosed JAFFE dataset and we used mean and standard deviation method to classify the images into categories. A new algorithm based on a set of images to face recognition is proposed here.
    Keywords
    Facial expression; Computer vision; Artificial intelligence; Expression recognition; JAFFE dataset
     
    Description
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 26-27).
     
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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