The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nous proposons une méthode interactive pour assister le processus de coloration de dessins animés 2D dessinés à la main. Il segmente les images d'entrée (chaque dessin dessiné à la main du dessin animé) en régions (zones entourées de lignes fermées. Par exemple, la tête, les mains), extrait leurs caractéristiques, puis fait correspondre les régions entre les images, permettant à l'utilisateur de corriger les erreurs de coloration de manière interactive. . Sa principale contribution consiste à stocker les régions correspondantes dans des listes appelées « chaînes » pour suivre la façon dont les caractéristiques de la région varient au cours de l'animation. Par conséquent, le taux de correspondance est amélioré et les erreurs de correspondance sont réduites, réduisant ainsi l'effort total nécessaire pour obtenir un dessin animé correctement coloré.
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Pablo GARCIA TRIGO, Henry JOHAN, Takashi IMAGIRE, Tomoyuki NISHITA, "Interactive Region Matching for 2D Animation Coloring Based on Feature's Variation" in IEICE TRANSACTIONS on Information,
vol. E92-D, no. 6, pp. 1289-1295, June 2009, doi: 10.1587/transinf.E92.D.1289.
Abstract: We propose an interactive method for assisting the coloring process of 2D hand-drawn animated cartoons. It segments input frames (each hand-drawn drawing of the cartoon) into regions (areas surrounded by closed lines. E.g. the head, the hands) extracts their features, and then matches the regions between frames, allowing the user to fix coloring mistakes interactively. Its main contribution consists in storing matched regions in lists called "chains" for tracking how the region features vary along the animation. Consequently, the matching rate is improved and the matching mistakes are reduced, thus reducing the total effort needed until having a correctly colored cartoon.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E92.D.1289/_p
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@ARTICLE{e92-d_6_1289,
author={Pablo GARCIA TRIGO, Henry JOHAN, Takashi IMAGIRE, Tomoyuki NISHITA, },
journal={IEICE TRANSACTIONS on Information},
title={Interactive Region Matching for 2D Animation Coloring Based on Feature's Variation},
year={2009},
volume={E92-D},
number={6},
pages={1289-1295},
abstract={We propose an interactive method for assisting the coloring process of 2D hand-drawn animated cartoons. It segments input frames (each hand-drawn drawing of the cartoon) into regions (areas surrounded by closed lines. E.g. the head, the hands) extracts their features, and then matches the regions between frames, allowing the user to fix coloring mistakes interactively. Its main contribution consists in storing matched regions in lists called "chains" for tracking how the region features vary along the animation. Consequently, the matching rate is improved and the matching mistakes are reduced, thus reducing the total effort needed until having a correctly colored cartoon.},
keywords={},
doi={10.1587/transinf.E92.D.1289},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Interactive Region Matching for 2D Animation Coloring Based on Feature's Variation
T2 - IEICE TRANSACTIONS on Information
SP - 1289
EP - 1295
AU - Pablo GARCIA TRIGO
AU - Henry JOHAN
AU - Takashi IMAGIRE
AU - Tomoyuki NISHITA
PY - 2009
DO - 10.1587/transinf.E92.D.1289
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E92-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2009
AB - We propose an interactive method for assisting the coloring process of 2D hand-drawn animated cartoons. It segments input frames (each hand-drawn drawing of the cartoon) into regions (areas surrounded by closed lines. E.g. the head, the hands) extracts their features, and then matches the regions between frames, allowing the user to fix coloring mistakes interactively. Its main contribution consists in storing matched regions in lists called "chains" for tracking how the region features vary along the animation. Consequently, the matching rate is improved and the matching mistakes are reduced, thus reducing the total effort needed until having a correctly colored cartoon.
ER -