Obtaining spatially varying bidirectional reflectance distribution function
    1.
    发明授权
    Obtaining spatially varying bidirectional reflectance distribution function 有权
    获得空间变化的双向反射分布函数

    公开(公告)号:US08953037B2

    公开(公告)日:2015-02-10

    申请号:US13274191

    申请日:2011-10-14

    IPC分类号: H04N9/47 H04N1/00 G01N21/55

    摘要: A system for reflectance acquisition of a target includes a light source, an image capture device, and a reflectance reference chart. The reflectance reference chart is fixed relative to the target. The light source provides a uniform band of light across at least a dimension of the target. The image capture device is configured and positioned to encompass at least a portion of the target and at least a portion of the reflectance reference chart within a field-of-view of the image capture device. The image capture device captures a sequence of images of the target and the reflectance reference chart during a scan thereof. Reflectance responses are calculated for the pixels in the sequence of images. Reference reflectance response distribution functions are matched to the calculated reflectance responses, and an image of the target is reconstructed based at least in part on the matched reference reflectance response distribution functions.

    摘要翻译: 用于目标的反射获取的系统包括光源,图像捕获装置和反射率参考图。 反射率参考图表相对于目标是固定的。 光源在目标的至少一维上提供均匀的光束。 图像捕获设备被配置和定位成在图像捕获设备的视野内包围目标的至少一部分和反射参考图的至少一部分。 图像捕获装置在其扫描期间捕获目标的图像序列和反射率参考图。 针对图像序列中的像素计算反射响应。 参考反射响应分布函数与所计算的反射率响应匹配,并且至少部分地基于匹配的参考反射响应分布函数来重建目标的图像。

    Obtaining Spatially Varying Bidirectional Reflectance Distribution Function
    2.
    发明申请
    Obtaining Spatially Varying Bidirectional Reflectance Distribution Function 有权
    获得空间变化的双向反射分布函数

    公开(公告)号:US20130093883A1

    公开(公告)日:2013-04-18

    申请号:US13274191

    申请日:2011-10-14

    IPC分类号: H04N7/18

    摘要: A system for reflectance acquisition of a target includes a light source, an image capture device, and a reflectance reference chart. The reflectance reference chart is fixed relative to the target. The light source provides a uniform band of light across at least a dimension of the target. The image capture device is configured and positioned to encompass at least a portion of the target and at least a portion of the reflectance reference chart within a field-of-view of the image capture device. The image capture device captures a sequence of images of the target and the reflectance reference chart during a scan thereof. Reflectance responses are calculated for the pixels in the sequence of images. Reference reflectance response distribution functions are matched to the calculated reflectance responses, and an image of the target is reconstructed based at least in part on the matched reference reflectance response distribution functions.

    摘要翻译: 用于目标的反射获取的系统包括光源,图像捕获装置和反射率参考图。 反射率参考图表相对于目标是固定的。 光源在目标的至少一维上提供均匀的光束。 图像捕获设备被配置和定位成在图像捕获设备的视野内包围目标的至少一部分和反射参考图的至少一部分。 图像捕获装置在其扫描期间捕获目标的图像序列和反射率参考图。 针对图像序列中的像素计算反射响应。 参考反射响应分布函数与所计算的反射率响应匹配,并且至少部分地基于匹配的参考反射响应分布函数来重建目标的图像。

    Rendering global light transport in real-time using machine learning
    3.
    发明授权
    Rendering global light transport in real-time using machine learning 有权
    使用机器学习实时渲染全球光传输

    公开(公告)号:US09013496B2

    公开(公告)日:2015-04-21

    申请号:US13526716

    申请日:2012-06-19

    IPC分类号: G09G5/00 G06N99/00 G06T15/50

    摘要: Some implementations disclosed herein provide techniques and arrangements to render global light transport in real-time or near real-time. For example, in a pre-computation stage, a first computing device may render points of surfaces (e.g., using multiple light bounces and the like). Attributes for each of the points may be determined. A plurality of machine learning algorithms may be trained using particular attributes from the attributes. For example, a first machine learning algorithm may be trained using a first portion of the attributes and a second machine learning algorithm may be trained using a second portion of the attributes. The trained machine learning algorithms may be used by a second computing device to render components (e.g., diffuse and specular components) of indirect shading in real-time.

    摘要翻译: 本文公开的一些实施例提供了实时或接近实时地呈现全局光传输的技术和布置。 例如,在预计算阶段,第一计算设备可以渲染表面的点(例如,使用多个光反射等)。 可以确定每个点的属性。 可以使用来自属性的特定属性来训练多个机器学习算法。 例如,可以使用属性的第一部分来训练第一机器学习算法,并且可以使用属性的第二部分来训练第二机器学习算法。 经过训练的机器学习算法可以被第二计算设备用于实时地呈现间接着色的组件(例如,漫反射和镜面分量)。