Extraction and representation of three-dimensional (3D) and bidirectional reflectance distribution function (BRDF) parameters from lighted image sequences
    1.
    发明授权
    Extraction and representation of three-dimensional (3D) and bidirectional reflectance distribution function (BRDF) parameters from lighted image sequences 有权
    从照明图像序列中提取和表示三维(3D)和双向反射分布函数(BRDF)参数

    公开(公告)号:US09509905B2

    公开(公告)日:2016-11-29

    申请号:US14108358

    申请日:2013-12-17

    Applicant: Google Inc.

    CPC classification number: H04N5/23229 G06T15/506 H04N5/2354

    Abstract: Methods and systems are provided that use images to determine lighting information for an object. A computing device can receive an image of the object. For a pixel of the image, the computing device can: apply a first lighting model to determine a first estimate of a bi-directional lighting function (BRDF) for the object at the pixel, apply a second lighting model to determine a second estimate of the BRDF for the object at the pixel, determine a third estimate of the BRDF based on the first and second estimates, and store the third estimate of the BRDF in lighting-storage data. The computing device can provide the lighting-storage data. The BRDF can utilize a number of lighting parameters, such as a normal vector and albedo, reflectivity, and roughness values.

    Abstract translation: 提供了使用图像来确定对象的照明信息的方法和系统。 计算设备可以接收对象的图像。 对于图像的像素,计算设备可以:应用第一照明模型以确定在像素处的对象的双向照明功能(BRDF)的第一估计,应用第二照明模型以确定第二估计 在像素处的对象的BRDF基于第一和第二估计确定BRDF的第三估计,并将BRDF的第三估计存储在照明存储数据中。 计算设备可以提供照明存储数据。 BRDF可以利用许多照明参数,例如法向量和反照率,反射率和粗糙度值。

    Extraction and Representation of Three-Dimensional (3D) and Bidirectional Reflectance Distribution Function (BRDF) Parameters from Lighted Image Sequences
    2.
    发明申请
    Extraction and Representation of Three-Dimensional (3D) and Bidirectional Reflectance Distribution Function (BRDF) Parameters from Lighted Image Sequences 有权
    来自照明图像序列的三维(3D)和双向反射分布函数(BRDF)参数的提取和表示

    公开(公告)号:US20150172636A1

    公开(公告)日:2015-06-18

    申请号:US14108358

    申请日:2013-12-17

    Applicant: Google Inc.

    CPC classification number: H04N5/23229 G06T15/506 H04N5/2354

    Abstract: Methods and systems are provided that use images to determine lighting information for an object. A computing device can receive an image of the object. For a pixel of the image, the computing device can: apply a first lighting model to determine a first estimate of a bi-directional lighting function (BRDF) for the object at the pixel, apply a second lighting model to determine a second estimate of the BRDF for the object at the pixel, determine a third estimate of the BRDF based on the first and second estimates, and store the third estimate of the BRDF in lighting-storage data. The computing device can provide the lighting-storage data. The BRDF can utilize a number of lighting parameters, such as a normal vector and albedo, reflectivity, and roughness values.

    Abstract translation: 提供了使用图像来确定对象的照明信息的方法和系统。 计算设备可以接收对象的图像。 对于图像的像素,计算设备可以:应用第一照明模型以确定在像素处的对象的双向照明功能(BRDF)的第一估计,应用第二照明模型以确定第二估计 在像素处的对象的BRDF基于第一和第二估计确定BRDF的第三估计,并将BRDF的第三估计存储在照明存储数据中。 计算设备可以提供照明存储数据。 BRDF可以利用许多照明参数,例如法向量和反照率,反射率和粗糙度值。

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