캐리커처 자동 생성을 위한 이미지 변형 법칙에 관한 연구 - 감성적 형태 중심의 변형 방법 -
Image Transformation Logics for Caricature Generation : The Focus on Emotional Form
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참고문헌
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초록
Unlike former researches, this study for developing the caricature generator began observing the methods that other caricature experts have adopted. According to the observation, it seemed that experts tried to exaggerate characteristics of the target shape from other similar objects. When we are saying "This is similar to that,"we give salience to their difference among the identical form groups. This study was to find the most similar geometry form to the target shape and then to transform its form through exaggeration. The research scope was restricted to exaggerate the outline shape of two-dimensional looped curve as a caricature form. For this, the author discussed the following: (a) organization method of four kinds of similar geometry form database, (b) search method to find the pertinent similar geometry form, (c) arrangement method for those searched data, and (d) method to exaggerate the target shape. Human faces and cars were selected as research categories to make the database. According to the survey over the transformed results, it was proved its possibility.
Abstract
Unlike former researches, this study for developing the caricature generator began observing the methods that other caricature experts have adopted. According to the observation, it seemed that experts tried to exaggerate characteristics of the target shape from other similar objects. When we are saying "This is similar to that,"we give salience to their difference among the identical form groups. This study was to find the most similar geometry form to the target shape and then to transform its form through exaggeration. The research scope was restricted to exaggerate the outline shape of two-dimensional looped curve as a caricature form. For this, the author discussed the following: (a) organization method of four kinds of similar geometry form database, (b) search method to find the pertinent similar geometry form, (c) arrangement method for those searched data, and (d) method to exaggerate the target shape. Human faces and cars were selected as research categories to make the database. According to the survey over the transformed results, it was proved its possibility.
참고문헌 (8)
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- Beeck,J, "L'Art de la carricature par de beeck" (1996), Editions Glenat
- Chiang, P., "Feature-Based caricature generation. National Chengchi University", Department of Computer Science, National Computer Symposium (2003)
- Hayashi, J., "A method for automatric generation of caricatured profile in PICASSO system", IEICE trans, 80(8), pp.2102~2109 (1997)
- Katsuhiko,Y, "A few complaints of an artist of facial caricature", Cosmetics Culture, 37(1), pp.70~73 (1997)
- Lewis,M., "Understanding Caricatures of Faces", Quarterly Journal of Experimental Psychology Section A-Human Experimental Psychology, pp.321~346 (1998)
- Murakami,K., "Extracting Facial Features from Motion Images to Generate a Dynamic Caricature", Technical Report of Japan Society of Precision Engineering, 303(8), pp.56~59 (1997)
- Shimada, H., "facial caricature Drawing method based on 3D face model. The Trans", Information and Communication Engineers, 76(12), pp.455~458 (1993), Institute of Electronics