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
- 학술대회자료
- 저자정보
- 발행연도
- 2007.5
- 수록면
- 57 - 60 (4page)
이용수
초록· 키워드
오류제보하기
As computer vision technology been developing, while camera becomes standard configuration for personal computer (PC) and computer calculating speed becomes faster and faster. Computer vision have been more popular used in people daily life, people can use computer as an eye to see and recognize the real world. In this paper, we will present a novel electronic head Painting system which is based on human facial feature. Our system firstly detect human face from the input image by using face features in YUV Color model, and then for face candidate, use the nearly reversed relationship information between U and V cluster of face feature to detect mouth region. Then in the detected mouth region, mouth lip region gray level is usually lower than other region but V level higher than others, so we can reversal mouth region gray level and use associated threshold method to pick up mouth region pixels. Geometrical relationship between mouth region and face region boundary can be used to confirm human head rotation angles correspond to camera, which can be used to control brush movement in screen. Then we extract mouth shape feature by segment it into 5*5 pieces and calculate the eigenvector. Got eigenvector can be inputted into recognition machine based on neural network to recognize the mouth shape. Output codes of recognition machine can be judged as command to control painting brush when and with which size of brush to paint. We have made an experiment on windows XP to evaluate the effect of our system. The experiment result showed that our system can represent a good effect for head painting system.
목차
ABSTRACT
1. INTRODUCTION
2. HUMAN HEAD AND MOUTH DETECTION ALGORITHM
3. MOUSE TRACKING MAPPING METHOD AND SHAPE ANALYZING METHOD
4. EXPERIMENTAL RESULTS
5. CONCLUSIONS
6. ACKNOWLEDGEMENT
7. REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Implementation of Hand-Free Head Mouse Control System
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
2007 .07
-
Human Computer Interaction Using Mouth Tracking
한국멀티미디어학회 국제학술대회
2008 .07
-
Human Face Mouth Control Based on Mouth Tracking
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2007 .07
-
A Study on Mouth Mouse
한국정보컨버전스학회 International conference
2008 .01
-
Human-Computer Interface Using Mouth Shape and Head Gesture Recognition
INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING
2007 .07
-
Determination of Camera Position from Single Face Image for 3D Face Modeling
한국멀티미디어학회 학술발표논문집
2007 .05
-
Automatic Camera Pose Determination from a Single Face Image
멀티미디어학회논문지
2007 .12
-
안드로이드 로봇의 한국어 입모양 생성
한국정밀공학회 학술발표대회 논문집
2016 .05
-
Human Head Mouse System Based on Facial Gesture Recognition
멀티미디어학회논문지
2007 .12
-
베이지안 분류 기반의 입 모양을 이용한 한글 모음 인식 시스템
멀티미디어학회논문지
2019 .08
-
EFFECTS OF BELL MOUTH GEOMETRIES TO FLOW RATE IN CENTRIFUGAL BLOWER
한국전산유체공학회 학술대회논문집
2010 .11
-
Feature Region-Based Face Recognition System
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications
1998 .01
-
입 바람과 가속도 센서를 이용한 가상현실 콘텐츠의 위치 제어
한국컴퓨터정보학회논문지
2019 .04
-
Improvement of the Mouth Part Extraction in Facial Caricaturing System PICASSO-2
대한전자공학회 기타 간행물
2010 .02
-
Improvement of the Mouth Part Extraction in Facial Caricaturing System PICASSO-2
대한전자공학회 기타 간행물
2010 .02
-
조수석 에어백 Housing의 Bell Mouth 개선 최적화
한국자동차공학회 춘 추계 학술대회 논문집
2006 .06
-
Recognizing Facial Expression for Man-machine Interaction
제어로봇시스템학회 국제학술대회 논문집
2009 .08
-
입 영역에서 외곽선의 기울기 보정을 통한 특징벡터 생성 기법
멀티미디어학회논문지
2014 .10
-
구전정보 매체유형이 소비자 제품태도에 미치는 영향에 관한 연구
대한산업공학회 춘계공동학술대회 논문집
2016 .04
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2012-004-004270527