지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.12
- 수록면
- 1,383 - 1,392 (10page)
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초록· 키워드
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In this paper, we proposed a method to automatically determine the optimal radius through multi-scale LBP operation generalizing the size of radius variation and boosting learning in facial emotion recognition When we looked at the distribution of features vectors, the most common was LBP8.1 of 31% and sum of LBP<SUB>8.1</SUB> was 57.5%, LBP<SUB>8.3</SUB>, LBP<SUB>8.4</SUB>, and LBP<SUB>8.5</SUB> were respectively 18.5%, 12.0%, and 12.0%. It was found that the patterns of relatively greater radius express characteristics of face well. In case of normal and anger, LBP8.1 and LBP8.2 were mainly distributed. The distribution of LBP<SUB>8.3</SUB> is greater than or equal to the that of LBP<SUB>8.1</SUB> in laugh and surprise. It was found that the radius greater than 1 or 2 was useful for a specific emotion recognition. The facial expression recognition rate of proposed multi-scale LBP method was 97.5%. This showed the superiority of proposed method and it was confirmed through various experiments.
목차
ABSTRACT
1. 서론
2. 이론
3. 방법
4. 실험 결과 및 고찰
5. 결론
REFERENCE
참고문헌 (13)
참고문헌 신청
1. [학술지(정기간행물)] - 홍용희 / 2010 / 에이다부스트와 신경망 조합을 이용한 표정인식 / 한국지능시스템학회 논문지 20 (6) : 805 ~ 813
2. [학술지(정기간행물)] - Y. Cheon / 2008 / A Natural Facial Expression Recognition Using Differential-AAM and k-NNS / Pattern Recognition 42 (7) : 1340 ~ 1350
3. [학술지(정기간행물)] - Y. Gao / 2003 / Facial Expression Recognition From Line-based Caricatures / IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 33 (3) : 405 ~ 412
4. [학술대회논문] - C.L. Lisetti / 1998 / Facial Expression Recognition using a Neural Network / Proceeding of The 11th International Flairs Conference : 323 ~ 332
5. [학술대회논문] - C. Padgett / 1997 / Representing Face Images for Emotion Classification / Proceeding of Conference on Advances in Neural Information Processing Systems 9 : 894 ~ 900
2. [학술지(정기간행물)] - Y. Cheon / 2008 / A Natural Facial Expression Recognition Using Differential-AAM and k-NNS / Pattern Recognition 42 (7) : 1340 ~ 1350
3. [학술지(정기간행물)] - Y. Gao / 2003 / Facial Expression Recognition From Line-based Caricatures / IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 33 (3) : 405 ~ 412
4. [학술대회논문] - C.L. Lisetti / 1998 / Facial Expression Recognition using a Neural Network / Proceeding of The 11th International Flairs Conference : 323 ~ 332
5. [학술대회논문] - C. Padgett / 1997 / Representing Face Images for Emotion Classification / Proceeding of Conference on Advances in Neural Information Processing Systems 9 : 894 ~ 900
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UCI(KEPA) : I410-ECN-0101-2016-004-000961898