紀要論文 印象変換ベクトル法にもとづく顔形状の個人差に応じた変形操作による3次元顔表情の生成

荒井, 雄大

57pp.1 - 5 , 2016-03-24 , 法政大学大学院 理工学・工学研究科
内容記述
Facial expressions play an important role in all facets of human communication, even in human-machine communications. Morphable 3D face model was introduced by learning from many 3D faces that display various expressions, with which each ransformation of the 3D shape is described by changing just a few parameters. Moreover, an impression on personal attributes can be changed by controlling these parameters. In our previous works such parameter transformation suitable to generate facial expressions was proposed by introducing impression transfer vector. We proposed a new method for individually obtaining the transformation of the parameters for each input face on the basis of the positional relationships between the parameters of the input face and the discrimination boundaries defined by Support Vector Machine learning. .Key Words : facial expression generation, vector representation of 3D object, principal component analysis, morphable 3D model, dimensionality reduction, support vector machine
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http://repo.lib.hosei.ac.jp/bitstream/10114/12426/1/14R4102%e8%8d%92%e4%ba%95%e9%9b%84%e5%a4%a7.pdf

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