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Pose Generation System Expressing Feelings and State

机译:表达情感和状态的姿势生成系统

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A pose generation system expressing feelings and the state is proposed in this paper. The most important contribution of this paper is proposal of a pose generation system with high expression ability. Generally, gestures are composed of pose, facial expression and the movement. This paper treats pose and facial expression. The proposed system generates a pose in accord with the image that the user wants to make, and it outputs avatars with the poses. The operation and the usage of the system are very simple, and high quality avatars with poses can be obtained. First, a user chooses onomatopoeias which are close to the image of the pose that the user wants to create. Onomatopoeia is a word, or occasionally, a grouping of words, with a sound imitating the sound it is describing, such as “buzz” for a bee and “moo” for a cow. Then the system determines the initial values of the parameters to constitute a pose from the chosen onomatopoeias. Various poses can be generated by interactive genetic operations based on the initial values, and they are displayed to the user. Then the user selects and evaluates his/her favorite poses, and the system learns preference of the user based on the evaluations. In this way, interactive genetic operations are performed and more and more suitable poses are generated. Furthermore, since addition of facial expression is possible, various feeling/state expressions are realized. In addition, the poses are expressed in a 3D space, a viewpoint can be changed freely on the screen. Effectiveness of the proposed system is confirmed through evaluation experiments.
机译:提出了一种表达情感和状态的姿势生成系统。本文最重要的贡献是提出了一种具有高表达能力的姿态生成系统。通常,手势由姿势,面部表情和动作组成。本文讨论姿势和面部表情。所提出的系统根据用户想要制作的图像生成姿势,并且输出具有姿势的化身。该系统的操作和使用非常简单,并且可以获得具有姿势的高质量化身。首先,用户选择接近于用户想要创建的姿势的图像的拟声词。拟声词是一个单词,或者有时是一组单词,其声音模仿了它所描述的声音,例如蜂的“嗡嗡声”和牛的“ mo”声。然后,系统根据所选择的拟声词确定参数的初始值以构成姿势。可以通过交互式遗传操作基于初始值生成各种姿势,并将它们显示给用户。然后,用户选择并评估他/她最喜欢的姿势,然后系统根据评估结果了解用户的偏好。以这种方式,进行交互式遗传操作,并产生越来越多的合适姿势。此外,由于可以添加面部表情,所以实现了各种感觉/状态表情。另外,在3D空间中表示姿势,可以在屏幕上自由更改视点。通过评估实验证实了所提出系统的有效性。

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