Obtaining high resolution and dense reconstruction of face from sparse facial markers

    公开(公告)号:US11170571B2

    公开(公告)日:2021-11-09

    申请号:US16686017

    申请日:2019-11-15

    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.

    OBTAINING HIGH RESOLUTION AND DENSE RECONSTRUCTION OF FACE FROM SPARSE FACIAL MARKERS

    公开(公告)号:US20220058870A1

    公开(公告)日:2022-02-24

    申请号:US17520575

    申请日:2021-11-05

    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.

    ON-SET FACIAL PERFORMANCE CAPTURE AND TRANSFER TO A THREE-DIMENSIONAL COMPUTER-GENERATED MODEL

    公开(公告)号:US20200286284A1

    公开(公告)日:2020-09-10

    申请号:US16681300

    申请日:2019-11-12

    IPC分类号: G06T17/20 G06T13/40 G06T15/50

    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.

    On-set facial performance capture and transfer to a three-dimensional computer-generated model

    公开(公告)号:US11069135B2

    公开(公告)日:2021-07-20

    申请号:US16681300

    申请日:2019-11-12

    IPC分类号: G06T17/20 G06T15/50 G06T13/40

    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.

    OBTAINING HIGH RESOLUTION AND DENSE RECONSTRUCTION OF FACE FROM SPARSE FACIAL MARKERS

    公开(公告)号:US20210150810A1

    公开(公告)日:2021-05-20

    申请号:US16686017

    申请日:2019-11-15

    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.