-
公开(公告)号:US11170571B2
公开(公告)日:2021-11-09
申请号:US16686017
申请日:2019-11-15
发明人: Matthew Cong , Ronald Fedkiw , Lana Lan
摘要: Some implementations of the disclosure are directed to techniques for facial reconstruction from a sparse set of facial markers. In one implementation, a method comprises: obtaining data comprising a captured facial performance of a subject with a plurality of facial markers; determining a three-dimensional (3D) bundle corresponding to each of the plurality of facial markers of the captured facial performance; using at least the determined 3D bundles to retrieve, from a facial dataset comprising a plurality of facial shapes of the subject, a local geometric shape corresponding to each of the plurality of the facial markers; and merging the retrieved local geometric shapes to create a facial reconstruction of the subject for the captured facial performance.
-
公开(公告)号:US20220058870A1
公开(公告)日:2022-02-24
申请号:US17520575
申请日:2021-11-05
发明人: Matthew Cong , Ronald Fedkiw , Lana Lan
摘要: Some implementations of the disclosure are directed to techniques for facial reconstruction from a sparse set of facial markers. In one implementation, a method comprises: obtaining data comprising a captured facial performance of a subject with a plurality of facial markers; determining a three-dimensional (3D) bundle corresponding to each of the plurality of facial markers of the captured facial performance; using at least the determined 3D bundles to retrieve, from a facial dataset comprising a plurality of facial shapes of the subject, a local geometric shape corresponding to each of the plurality of the facial markers; and merging the retrieved local geometric shapes to create a facial reconstruction of the subject for the captured facial performance.
-
公开(公告)号:US11783493B2
公开(公告)日:2023-10-10
申请号:US17520575
申请日:2021-11-05
发明人: Matthew Cong , Ronald Fedkiw , Lana Lan
IPC分类号: G06T17/20 , G06T7/246 , G06T5/50 , G06T7/73 , G06F18/00 , G06V10/74 , G06V10/774 , G06V20/64 , G06V40/16
CPC分类号: G06T7/246 , G06F18/00 , G06T5/50 , G06T7/75 , G06T17/20 , G06V10/761 , G06V10/774 , G06V20/647 , G06V40/171 , G06V40/172 , G06T2207/20221
摘要: Some implementations of the disclosure are directed to techniques for facial reconstruction from a sparse set of facial markers. In one implementation, a method comprises: obtaining data comprising a captured facial performance of a subject with a plurality of facial markers; determining a three-dimensional (3D) bundle corresponding to each of the plurality of facial markers of the captured facial performance; using at least the determined 3D bundles to retrieve, from a facial dataset comprising a plurality of facial shapes of the subject, a local geometric shape corresponding to each of the plurality of the facial markers; and merging the retrieved local geometric shapes to create a facial reconstruction of the subject for the captured facial performance.
-
4.
公开(公告)号:US20200286284A1
公开(公告)日:2020-09-10
申请号:US16681300
申请日:2019-11-12
发明人: Stéphane Grabli , Michael Bao , Per Karefelt , Adam Ferrall-Nunge , Jeffery Yost , Ronald Fedkiw , Cary Phillips , Pablo Helman , Leandro Estebecorena
摘要: A method of transferring a facial expression from a subject to a computer generated character that includes receiving a plate with an image of the subject's facial expression, a three-dimensional parameterized deformable model of the subject's face where different facial expressions of the subject can be obtained by varying values of the model parameters, a model of a camera rig used to capture the plate, and a virtual lighting model that estimates lighting conditions when the image on the plate was captured. The method can solve for the facial expression in the plate by executing a deformation solver to solve for at least some parameters of the deformable model with a differentiable renderer and shape from shading techniques, using, as inputs, the three-dimensional parameterized deformable model, the model of the camera rig and the virtual lighting model over a series of iterations to infer geometry of the facial expression and generate a final facial mesh using the set of parameter values of the deformable model which result in a facial expression that closely matches the expression of the subject in the plate.
-
5.
公开(公告)号:US11069135B2
公开(公告)日:2021-07-20
申请号:US16681300
申请日:2019-11-12
发明人: Stéphane Grabli , Michael Bao , Per Karefelt , Adam Ferrall-Nunge , Jeffery Yost , Ronald Fedkiw , Cary Phillips , Pablo Helman , Leandro Estebecorena
摘要: A method of transferring a facial expression from a subject to a computer generated character that includes receiving a plate with an image of the subject's facial expression, a three-dimensional parameterized deformable model of the subject's face where different facial expressions of the subject can be obtained by varying values of the model parameters, a model of a camera rig used to capture the plate, and a virtual lighting model that estimates lighting conditions when the image on the plate was captured. The method can solve for the facial expression in the plate by executing a deformation solver to solve for at least some parameters of the deformable model with a differentiable renderer and shape from shading techniques, using, as inputs, the three-dimensional parameterized deformable model, the model of the camera rig and the virtual lighting model over a series of iterations to infer geometry of the facial expression and generate a final facial mesh using the set of parameter values of the deformable model which result in a facial expression that closely matches the expression of the subject in the plate.
-
公开(公告)号:US20210150810A1
公开(公告)日:2021-05-20
申请号:US16686017
申请日:2019-11-15
发明人: Matthew Cong , Ronald Fedkiw , Lana Lan
摘要: Some implementations of the disclosure are directed to techniques for facial reconstruction from a sparse set of facial markers. In one implementation, a method comprises: obtaining data comprising a captured facial performance of a subject with a plurality of facial markers; determining a three-dimensional (3D) bundle corresponding to each of the plurality of facial markers of the captured facial performance; using at least the determined 3D bundles to retrieve, from a facial dataset comprising a plurality of facial shapes of the subject, a local geometric shape corresponding to each of the plurality of the facial markers; and merging the retrieved local geometric shapes to create a facial reconstruction of the subject for the captured facial performance.
-
-
-
-
-