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ITS » Paper and Presentation » Jaringan Cerdas Multimedia S2
Posted by aprill@is.its.ac.id at 06/11/2015 14:09:11  •  818 Views


PENGENALAN EKSPRESI WAJAH PEREMPUAN INDONESIA MENGGUNAKAN SPEEDED-UP ROBUST FEATURE BERBASIS KULLBACK LEIBLER DIVERGENCE

INDONESIAN FEMALE FACIAL EXPRESSION FOR EMOTION RECOGNITION USING SPEEDED UP ROBUST FEATURE BASED ON KULLBACK LEIBLER DIVERGENCE

Author :
NURINDIYANI, ARTIARINI KUSUMA ( 2211 205 204 )




ABSTRAK

Komunikasi merupakan naluri sosial yang ada pada manusia. Ekspresi wajah merupakan salah satu bentuk komunikasi yang dapat menyampaikan emosi seseorang kepada orang yang memperhatikannya. Ekspresi wajah memiliki peranan penting dalam interaksi antara manusia dengan manusia lainnya. Penggunaan aplikasi pengenalan ekspresi wajah saat ini terus berkembang salah satunya dalam bidang interaksi manusia dan komputer. Mesin yang digunakan dalam pengenalan ekspresi wajah tidak bisa digunakan secara langsung perlu adanya media pembelajaran mesin berupa citra. Dalam penelitian ini akan disusun database ekspresi wajah perempuan Indonesia dalam bentuk dimensi dua yang diberi nama Indonesian Female Face Expression IFFE 2D mereferensi dari JAFFE Japanese Female Face Expression. Database disusun dan diklasifikasikan ke dalam emosi dasar manusia yaitu sedih jijik terkejut senang dan marah. Sebelum melakukan proses pengenalan wajah daerah wajah harus direlokasi menggunakan Haar Wavelet. Untuk mencocokkan gambar ekspresi wajah digunakan fitur SURF Speeded Up Robust Features. Kueri berdasarkan suatu contoh gambar dicocokkan dengan gambar-gambar ekspresi wajah pada basis data dengan mengukur kepresisian jarak minimum menggunakan metode Kullback Leibler Divergence.


ABSTRACT

Communication is one of the social instinct in human being. Facial expression is one form of communication that can convey each emotions to the person who noticed. Facial expressions has an important role in the interaction between each other. The application of facial expression recognition grow fast at this time one the application is human computer interaction. Machines used in facial expression recognition could not be used directly machine needs some database image for training the machine. In this research will be compiled database of facial expressions of women in Indonesia in the form of two-dimensional Indonesian named Female Face Expression IFFE 2D reference from JAFFE Japanese Female Face Expression. Database compiled and classified into basic human emotions that is sad disgust surprise happy and angry. Before the process of face recognition facial area should be relocated using the Haar wavelet . For matching keypoint of each expressions used feature SURF Speeded Up Robust Features. The query is based on a matched sample image with images in a database of facial expressions by measuring the precision of the minimum distance using Kullback Leibler Divergence method .



KeywordsKomunikasi merupakan naluri sosial yang ada pada manusia. Ekspresi wajah merupakan salah satu bentuk komunikasi yang dapat menyampaikan emosi seseorang kepada orang yang memperhatikannya. Ekspresi wajah memiliki peranan penting dalam interaksi antara manu
 
Subject:  Kontrol yang kuat; Pengenalan wajah manusia (ilmu komputer); Pengolahan citra
Contributor
  1. Prof. Ir. Mauridhi Hery Purnomo, M.Eng., Ph.D
  2. Dr. Surya Sumpeno, ST, M.Sc
Date Create: 06/11/2015
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-paper-22121150008083
Collection ID: 22121150008083
Call Number: RTE 006.42 Nur p


Source
Paper and Presentations, Electrical Engineering, RTE 006.42 Nur p, 2015

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Copyright @2015 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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ITS-paper-22121150008083-39427.pdf




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