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Çмú´ëȸ ÇÁ·Î½Ãµù

Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > IPIU (¿µ»óó¸® ¹× ÀÌÇØ¿¡ °üÇÑ ¿öÅ©¼¥) > IPIU 2016 (Á¦28ȸ ¿µ»óó¸® ¹× ÀÌÇØ¿¡ °üÇÑ ¿öÅ©¼¥)

IPIU 2016 (Á¦28ȸ ¿µ»óó¸® ¹× ÀÌÇØ¿¡ °üÇÑ ¿öÅ©¼¥)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Finding Face-Lookalikes Using CNN
¿µ¹®Á¦¸ñ(English Title) Finding Face-Lookalikes Using CNN
ÀúÀÚ(Author) Junho Cho   Wangue Jee   YoungBae Jeon   Sangdoo Yun   Jin Young Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 28 NO. 01 PP. P1 ~ 0037 (2016. 02)
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(Korean Abstract)
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(English Abstract)
Face-lookalikes intrigue people and are common subjects in our daily conversation. Finding face-lookalikes but has not been a popular topic in computer vision compared to face verification/identification. Resemblance in faces are subjective to every individual, and the absence of absolute measure of it makes finding face-lookalikes difficult. To the best of our knowledge, this is the first work of finding face-lookalikes. We make two contributions: first, we propose a procedure to make face retrieval dataset for finding face-lookalikes by crawling faces on web. Second, we propose a user-friendly framework of retrieving top-k face-lookalikes to the user¡¯s device. We evaluate our experiment results on our finely webcrawled dataset, suggesting more lookalike faces than other public dataset.
Å°¿öµå(Keyword)
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