Earticle

초록

영어

In this paper, we propose a new automatically generation system of caricature which emphasizes the unique characteristics of the input images. This system can create the cartoon character similar to user’s features by using set rules adopted a particular artist's technique. Input image is transformed by using MLS(Moving Least Squares) approximation[1] based on a predefined cartoon character’s image. The unique characteristics of user can be detected by comparing the information between the mean face feature and the input face feature extracted by AAM(Active Appearance Model) [2]. In this paper, to exaggerate the detected unique characteristics, we set-up the exaggeration rules using the technique of Justin[10] who is caricature artist. In addition, during the cartooning process, user's hairs and accessories are applied to the deformed image to make a close resemblance. Reliable and matured caricature can be represented through the exaggeration rules of the actual caricature artist's techniques. From this study, we can easily create a cartoon caricature appearing user's feature by combining a caricature with existing cartoon researches.

목차

Abstract
 1. Introduction
 2. Related Work
 3. System Overview
 4. Facial Feature Detection and Analysis
  4.1. Feature Point Detection using AAM
  4.2. Feature Detection of Input Face
 5. Exaggerated Techniques of Caricature
  5.1. Shape Exaggeration based on Justin
  5.2. Inbetweener Exaggeration
  5.3. Component Exaggeration
 6. Results
 7. Conclusion
 Acknowledgments
 References

키워드

저자

• Jiye Lee [ Dept. of Computer Science, Sungshin Women’s University, LOTTE Data Communication Company ]
• Hae Won Byun [ Dept. of Computer Science, Sungshin Women’s University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605