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公开(公告)号：US10019840B2
公开(公告)日：2018-07-10
申请号：US15270138
申请日：2016-09-20
Applicant: Adobe Systems Incorporated
Inventor： Daniel Robert Goldman , Jan Jachnik , Linjie Luo
CPC classification number: G06T17/205 , G06T5/002 , G06T5/003 , G06T17/20 , G06T19/20 , G06T2219/2016 , G06T2219/2021
Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.
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公开(公告)号：US09852326B2
公开(公告)日：2017-12-26
申请号：US15398881
申请日：2017-01-05
Applicant: Adobe Systems Incorporated
Inventor： Wilmot Wei-Mau Li , Jianchao Yang , Linjie Luo , Jonathan W. Brandt , Xiang Yu
CPC classification number: G06K9/00288 , G06K9/00228 , G06K9/00281 , G06K9/00302 , G06K9/00315 , G06K9/4604 , G06K9/4628 , G06K9/4642 , G06K9/6269 , G06K9/6272 , G06K9/66 , G06T7/246 , G06T13/40
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.
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公开(公告)号：US20170011552A1
公开(公告)日：2017-01-12
申请号：US15270138
申请日：2016-09-20
Applicant: Adobe Systems Incorporated
Inventor： Daniel Robert Goldman , Jan Jachnik , Linjie Luo
CPC classification number: G06T17/205 , G06T5/002 , G06T5/003 , G06T17/20 , G06T19/20 , G06T2219/2016 , G06T2219/2021
Abstract: One embodiment involves receiving a fine mesh as input, the fine mesh representing a 3-Dimensional (3D) model and comprising fine mesh polygons. The embodiment further involves identifying, based on the fine mesh, near-planar regions represented by a coarse mesh of coarse mesh polygons, at least one of the near-planar regions corresponding to a plurality of the coarse mesh polygons. The embodiment further involves determining a deformation to deform the coarse mesh based on comparing normals between adjacent coarse mesh polygons. The deformation may involve reducing a first angle between coarse mesh polygons adjacent to one another in a same near-planar region. The deformation may additionally or alternatively involve increasing an angle between coarse mesh polygons adjacent to one another in different near-planar regions. The fine mesh can be deformed using the determined deformation.
Abstract translation: 一个实施例涉及接收细网格作为输入，细网格表示三维（3D）模型并且包括细网格多边形。 该实施例还包括基于细网格识别由粗网格多边形的粗网格表示的近平面区域，对应于多个粗网格多边形的至少一个近平面区域。 该实施例还涉及基于相邻粗网格多边形之间的比较法确定变形以使粗网格变形。 变形可以涉及在相同的近平面区域中减小彼此相邻的粗网格多边形之间的第一角度。 变形可以额外地或替代地涉及在不同的近平面区域中增加彼此相邻的粗网格多边形之间的角度。 细网可以使用确定的变形来变形。
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