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    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/74686


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74686


    Title: Automatic generation of caricatures with multiple expressions using transformative approach
    Authors: Liao, Wen-Hung;Lai, C.-A.
    廖文宏
    Contributors: 資科系
    Keywords: Automatic caricature generation;Automatic Generation;Best fit;Caricature generation;Color quantization;Component based approach;Facial animation parameters;Facial feature detection;Facial feature localization;Higher-degree;Image morphing;Image warping;Mpeg-4 facial animation parameters;Reference image;Shape matching;Animation;Cameras;Computer graphics;Motion Picture Experts Group standards;Image segmentation
    Date: 2010
    Issue Date: 2015-04-17 17:20:15 (UTC+8)
    Abstract: The proliferation of digital cameras has changed the way we create and share photos. Novel forms of photo composition and reproduction have surfaced in recent years. In this paper, we present an automatic caricature generation system using transformative approaches. By combing facial feature detection, image segmentation and image warping/morphing techniques, the system is able to generate stylized caricature using only one reference image. When more than one reference sample are available, the system can either choose the best fit based on shape matching, or synthesize a composite style using polymorph technique. The system can also produce multiple expressions by controlling a subset of MPEG-4 facial animation parameters (FAP). Finally, to enable flexible manipulation of the synthetic caricature, we also investigate issues such as color quantization and raster-to-vector conversion. A major strength of our method is that the synthesized caricature bears a higher degree of resemblance to the real person than traditional component-based approaches. © 2010 Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering.
    Relation: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-11577-6_33
    DOI: 10.1007/978-3-642-11577-6_33
    Appears in Collections:[資訊科學系] 會議論文

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