An efficient facial expression recognition method using mean And standard deviation
Cataloged from PDF version of thesis report.
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| Формат: | Дисертація |
| Мова: | English |
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BRAC University
2017
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| Онлайн доступ: | http://hdl.handle.net/10361/8705 |
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10361-8705 |
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10361-87052022-01-26T10:04:48Z An efficient facial expression recognition method using mean And standard deviation Laboni, Pragna Zaman, Nusrat Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Facial expression Computer vision Artificial intelligence Expression recognition JAFFE dataset 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. 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. B. Computer Science and Engineering 2017-12-26T06:49:42Z 2017-12-26T06:49:42Z 2017 8/21/2017 Thesis ID 12101074 ID 12101105 http://hdl.handle.net/10361/8705 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 27 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Facial expression Computer vision Artificial intelligence Expression recognition JAFFE dataset |
| spellingShingle |
Facial expression Computer vision Artificial intelligence Expression recognition JAFFE dataset Laboni, Pragna Zaman, Nusrat An efficient facial expression recognition method using mean And standard deviation |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Laboni, Pragna Zaman, Nusrat |
| format |
Thesis |
| author |
Laboni, Pragna Zaman, Nusrat |
| author_sort |
Laboni, Pragna |
| title |
An efficient facial expression recognition method using mean And standard deviation |
| title_short |
An efficient facial expression recognition method using mean And standard deviation |
| title_full |
An efficient facial expression recognition method using mean And standard deviation |
| title_fullStr |
An efficient facial expression recognition method using mean And standard deviation |
| title_full_unstemmed |
An efficient facial expression recognition method using mean And standard deviation |
| title_sort |
efficient facial expression recognition method using mean and standard deviation |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8705 |
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