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http://dx.doi.org/10.5391/JKIIS.2003.13.4.403

Caricaturing using Local Warping and Edge Detection  

Choi, Sung-Jin (부산대학교 전기공학과)
Bae, Hyeon (부산대학교 전기공학과)
Kim, Sung-Shin (부산대학교 전기공학과)
Woo, Kwang-Bang (연세대학교 자동화기술연구소)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.4, 2003 , pp. 403-408 More about this Journal
Abstract
A general meaning of caricaturing is that a representation, especially pictorial or literary, in which the subject's distinctive features or peculiarities are deliberately exaggerated to produce a comic or grotesque effect. In other words, a caricature is defined as a rough sketch(dessin) which is made by detecting features from human face and exaggerating or warping those. There have been developed many methods which can make a caricature image from human face using computer. In this paper, we propose a new caricaturing system. The system uses a real-time image or supplied image as an input image and deals with it on four processing steps and then creates a caricatured image finally. The four Processing steps are like that. The first step is detecting a face from input image. The second step is extracting special coordinate values as facial geometric information. The third step is deforming the face image using local warping method and the coordinate values acquired in the second step. In fourth step, the system transforms the deformed image into the better improved edge image using a fuzzy Sobel method and then creates a caricatured image finally. In this paper , we can realize a caricaturing system which is simpler than any other exiting systems in ways that create a caricatured image and does not need complex algorithms using many image processing methods like image recognition, transformation and edge detection.
Keywords
Face detect; template matching; warping; fuzzy; edge detection;
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