Facial expression capture for character animation
    2.
    发明授权
    Facial expression capture for character animation 有权
    面部表情捕捉角色动画

    公开(公告)号:US09552510B2

    公开(公告)日:2017-01-24

    申请号:US14661788

    申请日:2015-03-18

    Abstract: Techniques for facial expression capture for character animation are described. In one or more implementations, facial key points are identified in a series of images. Each image, in the series of images, is normalized from the identified facial key points. Facial features are determined from each of the normalized images. Then a facial expression is classified, based on the determined facial features, for each of the normalized images. In additional implementations, a series of images are captured that include performances of one or more facial expressions. The facial expressions in each image of the series of images are classified by a facial expression classifier. Then the facial expression classifications are used by a character animator system to produce a series of animated images of an animated character that include animated facial expressions that are associated with the facial expression classification of the corresponding image in the series of images.

    Abstract translation: 描述了用于人物动画的面部表情捕获的技术。 在一个或多个实现中,在一系列图像中识别面部关键点。 一系列图像中的每个图像都从识别的面部关键点进行归一化。 从每个标准化图像确定面部特征。 然后,基于所确定的面部特征,针对每个标准化图像分类面部表情。 在另外的实现中,捕获包括一个或多个面部表情的表现的一系列图像。 一系列图像的每个图像中的面部表情由面部表情分类器分类。 然后,人物动画师系统使用面部表情分类来产生动画角色的一系列动画图像,其包括与一系列图像中的对应图像的面部表情分类相关联的动画面部表情。

    Facial Expression Capture for Character Animation
    3.
    发明申请
    Facial Expression Capture for Character Animation 有权
    角色动画面部表情捕捉

    公开(公告)号:US20160275341A1

    公开(公告)日:2016-09-22

    申请号:US14661788

    申请日:2015-03-18

    Abstract: Techniques for facial expression capture for character animation are described. In one or more implementations, facial key points are identified in a series of images. Each image, in the series of images, is normalized from the identified facial key points. Facial features are determined from each of the normalized images. Then a facial expression is classified, based on the determined facial features, for each of the normalized images. In additional implementations, a series of images are captured that include performances of one or more facial expressions. The facial expressions in each image of the series of images are classified by a facial expression classifier. Then the facial expression classifications are used by a character animator system to produce a series of animated images of an animated character that include animated facial expressions that are associated with the facial expression classification of the corresponding image in the series of images.

    Abstract translation: 描述了用于人物动画的面部表情捕获的技术。 在一个或多个实现中,在一系列图像中识别面部关键点。 一系列图像中的每个图像都从识别的面部关键点进行归一化。 从每个标准化图像确定面部特征。 然后,基于所确定的面部特征,针对每个标准化图像分类面部表情。 在另外的实现中,捕获包括一个或多个面部表情的表现的一系列图像。 一系列图像的每个图像中的面部表情由面部表情分类器分类。 然后,人物动画师系统使用面部表情分类来产生动画角色的一系列动画图像,其包括与一系列图像中的对应图像的面部表情分类相关联的动画面部表情。

Patent Agency Ranking