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    Model-based three-dimensional head pose estimation
    2.
    发明授权
    Model-based three-dimensional head pose estimation 有权

    公开(公告)号：US10311589B2

    公开(公告)日：2019-06-04

    申请号：US15823370

    申请日：2017-11-27

    申请人： NVIDIA Corporation

    发明人： Gregory P. Meyer ,  Shalini Gupta ,  Iuri Frosio ,  Nagilla Dikpal Reddy ,  Jan Kautz

    IPC分类号： G06K9/00 ,  G06T7/507 ,  G06T7/70 ,  G06K9/62 ,  G06T7/73 ,  G06T7/77 ,  G06T7/246 ,  G06T7/277

    摘要： One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.

    Model-based three-dimensional head pose estimation
    5.
    发明授权
    Model-based three-dimensional head pose estimation 有权

    公开(公告)号：US09830703B2

    公开(公告)日：2017-11-28

    申请号：US14825129

    申请日：2015-08-12

    申请人： NVIDIA CORPORATION

    发明人： Gregory P. Meyer ,  Shalini Gupta ,  Iuri Frosio ,  Nagilla Dikpal Reddy ,  Jan Kautz

    IPC分类号： G06K9/00 ,  G06T7/00

    CPC分类号： G06T7/507 ,  G06K9/6276 ,  G06T7/251 ,  G06T7/277 ,  G06T7/70 ,  G06T7/75 ,  G06T7/77 ,  G06T2200/28 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/30201

    摘要： One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.

    UNIFIED OPTIMIZATION METHOD FOR END-TO-END CAMERA IMAGE PROCESSING FOR TRANSLATING A SENSOR CAPTURED IMAGE TO A DISPLAY IMAGE
    6.
    发明申请
    UNIFIED OPTIMIZATION METHOD FOR END-TO-END CAMERA IMAGE PROCESSING FOR TRANSLATING A SENSOR CAPTURED IMAGE TO A DISPLAY IMAGE 有权
    用于将传感器捕获的图像转换为显示图像的端到端相机图像处理的统一优化方法

    公开(公告)号：US20150206504A1

    公开(公告)日：2015-07-23

    申请号：US14600507

    申请日：2015-01-20

    申请人： NVIDIA Corporation

    发明人： Dawid Stanislaw Pajak ,  Felix Heide ,  Nagilla Dikpal Reddy ,  Mushfiqur Rouf ,  Jan Kautz ,  Kari Pulli ,  Orazio Gallo

    IPC分类号： G09G5/02 ,  G06T11/00

    CPC分类号： G09G5/02 ,  G06T3/4015 ,  G06T5/001 ,  G06T5/002 ,  G09G5/026 ,  G09G5/363 ,  G09G2320/0238 ,  G09G2320/0242 ,  G09G2320/0247 ,  G09G2320/066 ,  G09G2360/08

    摘要： A computer implemented method of determining a latent image from an observed image is disclosed. The method comprises implementing a plurality of image processing operations within a single optimization framework, wherein the single optimization framework comprises solving a linear minimization expression. The method further comprises mapping the linear minimization expression onto at least one non-linear solver. Further, the method comprises using the non-linear solver, iteratively solving the linear minimization expression in order to extract the latent image from the observed image, wherein the linear minimization expression comprises: a data term, and a regularization term, and wherein the regularization term comprises a plurality of non-linear image priors.

    摘要翻译： 公开了一种从观察图像确定潜像的计算机实现方法。 该方法包括在单个优化框架内实现多个图像处理操作，其中单个优化框架包括求解线性最小化表达式。 该方法还包括将线性最小化表达映射到至少一个非线性求解器上。 此外，该方法包括使用非线性求解器，迭代地求解线性最小化表达以从观察图像中提取潜像，其中线性最小化表达式包括：数据项和正则化项，其中正则化 术语包括多个非线性图像先验。