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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
SIFT ±â¼úÀÚ¸¦ ÀÌ¿ëÇÑ ¾ó±¼ Ç¥Á¤ÀÎ½Ä |
¿µ¹®Á¦¸ñ(English Title) |
Facial Expression Recognition Using SIFT Descriptor |
ÀúÀÚ(Author) |
Dong-Ju Kim
Sang-Heon Lee
Myoung-Kyu Sohn
±èµ¿ÁÖ
ÀÌ»óÇå
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¿ø¹®¼ö·Ïó(Citation) |
VOL 05 NO. 02 PP. 0089 ~ 0094 (2016. 02) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®¿¡¼´Â SIFT ±â¼úÀÚ¸¦ ÀÌ¿ëÇÑ ¾ó±¼ Ư¡°ú SVM ºÐ·ù±â·Î Ç¥Á¤ÀνÄÀ» ¼öÇàÇÏ´Â ¹æ¹ý¿¡ ´ëÇÏ¿© Á¦¾ÈÇÑ´Ù. ±âÁ¸ SIFT ±â¼úÀÚ´Â ¹°Ã¼ ÀÎ½Ä ºÐ¾ß¿¡ ÀÖ¾î Å°Æ÷ÀÎÆ® °ËÃâ ÈÄ, °ËÃâµÈ Å°Æ÷ÀÎÆ®¿¡ ´ëÇÑ Æ¯Â¡ ±â¼úÀڷνá ÁÖ·Î »ç¿ëµÇ³ª, º» ³í¹®¿¡¼´Â SIFT ±â¼úÀÚ¸¦ ¾ó±¼ Ç¥Á¤ÀνÄÀÇ Æ¯Â¡º¤Åͷνá Àû¿ëÇÏ¿´´Ù. Ç¥Á¤ÀνÄÀ» À§ÇÑ Æ¯Â¡Àº Å°Æ÷ÀÎÆ® °ËÃâ °úÁ¤ ¾øÀÌ ¾ó±¼¿µ»óÀ» ¼ºê ºí·Ï ¿µ»óÀ¸·Î ³ª´©°í °¢ ¼ºê ºí·Ï ¿µ»ó¿¡ SIFT ±â¼úÀÚ¸¦ Àû¿ëÇÏ¿© °è»êµÇ¸ç, Ç¥Á¤ºÐ·ù´Â SVM ¾Ë°í¸®ÁòÀ¸·Î ¼öÇàµÈ´Ù. ¼º´ÉÆò°¡´Â ±âÁ¸ÀÇ LBP ¹× LDP¿Í °°Àº ÀÌÁøÆÐÅÏ Æ¯Â¡±â¹ÝÀÇ Ç¥Á¤ÀÎ½Ä ¹æ¹ý°ú ºñ±³ ¼öÇàµÇ¾úÀ¸¸ç, ½ÇÇè¿¡´Â °øÀÎ CK µ¥ÀÌÅͺ£À̽º¿Í JAFFE µ¥ÀÌÅͺ£À̽º¸¦ »ç¿ëÇÏ¿´´Ù. ½ÇÇè°á°ú, SIFT ±â¼úÀÚ¸¦ ÀÌ¿ëÇÑ Á¦¾È¹æ¹ýÀº ±âÁ¸¹æ¹ýº¸´Ù CK µ¥ÀÌÅͺ£À̽º¿¡¼ 6.06%ÀÇ Çâ»óµÈ Àνİá°ú¸¦ º¸¿´À¸¸ç, JAFFE µ¥ÀÌÅͺ£À̽º¿¡¼´Â 3.87%ÀÇ ¼º´ÉÇâ»óÀ» º¸¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
This paper proposed a facial expression recognition approach using SIFT feature and SVM classifier. The SIFT was generally employed as feature descriptor at key-points in object recognition fields. However, this paper applied the SIFT descriptor as feature vector for facial expression recognition. In this paper, the facial feature was extracted by applying SIFT descriptor at each sub-block image without key-point detection procedure, and the facial expression recognition was performed using SVM classifier. The performance evaluation was carried out through comparison with binary pattern feature-based approaches such as LBP and LDP, and the CK facial expression database and the JAFFE facial expression database were used in the experiments. From the experimental results, the proposed method using SIFT descriptor showed performance improvements of 6.06% and 3.87% compared to previous approaches for CK database and JAFFE database, respectively.
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Å°¿öµå(Keyword) |
Facial Expression Recognition
Scale Invariant Feature Transform
Support Vector Machine
¾ó±¼Ç¥Á¤ÀνÄ
SIFT
SVM
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ÆÄÀÏ÷ºÎ |
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