映像情報メディア学会誌
Online ISSN : 1881-6908
Print ISSN : 1342-6907
ISSN-L : 1342-6907
63 巻 , 9 号
選択された号の論文の26件中1~26を表示しています
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最先端メディアプロセッサが拓く映像処理
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  • 中洲 俊信, 苗村 健, 原島 博
    2009 年 63 巻 9 号 p. 1241-1251
    発行日: 2009/09/01
    公開日: 2010/05/01
    ジャーナル フリー
    We propose a prototype system that can be used by anyone to synthesize a caricature with not only the features of the target face but also the exaggeration he desires. First, we let 13 experts at drawing caricatures use our tool to synthesize line drawings corresponding to 5 targets' faces. Then, we learned their exaggeration rules from the synthesized line drawings by using neural networks. Our system traces the target face with a neutral facial expression and transforms it automatically into caricatures with various styles of exaggeration by using the following three types of exaggeration rules. The first type is the proposed exaggeration rule learned from the experts. The second is the traditional rule of simple extension of the geometric distance from an average face. The third is random deformation. Starting with one of these caricature types, a user can synthesize a caricature using an interactive genetic algorithm (IGA). We let 13 users synthesize their desired caricatures starting with caricatures generated only by exaggeration learned from experts and those generated only by extension of the geometric distance from an average face. Results of this experiment show that each type of exaggeration has advantages. These results also demonstrate the effectiveness of our system.
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  • 景山 陽一, 戸塚 康皓, 佐藤 瑞穂, 西田 眞, 白澤 洋一, 大瀧 健太
    2009 年 63 巻 9 号 p. 1314-1317
    発行日: 2009/09/01
    公開日: 2010/05/01
    ジャーナル フリー
    To pinpoint a specific person from two or more individuals per image stored in a database, the order of importance of all individuals in the image must be analyzed. An algorithm is proposed that can be used to automatically analyze the order of importance on the basis of face size and the placement of a face within an image. The relative values among the major person and the others are also calculated. The proposed algorithm includes four steps: detection of faces, acquisition of composition information, selection of the major person, and judgment of order of importance. Tests on 100 images suggest that the proposed algorithm is suitable for analyzing the order of importance of individuals per image.
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