Configuration settings of a digital camera for depth map generation
    3.
    发明授权
    Configuration settings of a digital camera for depth map generation 有权
    用于深度图生成的数码相机的配置设置

    公开(公告)号:US09307222B1

    公开(公告)日:2016-04-05

    申请号:US14577792

    申请日:2014-12-19

    Abstract: Systems and methods are disclosed for identifying image capture instructions for capturing images that may be used to generate quality depth maps. In some examples, the image capture instructions are generated by predictively determining in a scene-independent manner configuration settings to be used by a camera to capture a minimal quantity of images for generating the quality depth map. The image capture instructions may thus indicate a quantity of images to be captured and the aperture and focus settings to be used when capturing the images. The image capture instructions may be determined based in part on a distance estimate, camera calibration information and a predetermined range of optimal blur radii. The range of optimal blur radii ensures that there will be sufficient depth information for generating a depth map of a particular quality from the yet-to-be-captured images.

    Abstract translation: 公开了用于识别用于捕获可用于生成质量深度图的图像的图像捕获指令的系统和方法。 在一些示例中,通过以与场景无关的方式来预测性地确定要由相机使用的配置设置来捕获用于生成质量深度图的最小量的图像来生成图像捕获指令。 因此,图像拍摄指令可以指示要捕获的图像的数量以及在拍摄图像时要使用的光圈和聚焦设置。 图像捕获指令可以部分地基于距离估计,相机校准信息和最佳模糊半径的预定范围来确定。 最佳模糊半径的范围确保将有足够的深度信息用于从未被捕获的图像生成特定质量的深度图。

    SETTINGS OF A DIGITAL CAMERA FOR DEPTH MAP REFINEMENT
    5.
    发明申请
    SETTINGS OF A DIGITAL CAMERA FOR DEPTH MAP REFINEMENT 有权
    数位摄像机设置深度地图精修

    公开(公告)号:US20160182880A1

    公开(公告)日:2016-06-23

    申请号:US15056283

    申请日:2016-02-29

    Abstract: Systems and methods are disclosed for identifying depth refinement image capture instructions for capturing images that may be used to refine existing depth maps. The depth refinement image capture instructions are determined by evaluating, at each image patch in an existing image corresponding to the existing depth map, a range of possible depth values over a set of configuration settings. Each range of possible depth values corresponds to an existing depth estimate of the existing depth map. This evaluation enables selection of one or more configuration settings in a manner such that there will be additional depth information derivable from one or more additional images captured with the selected configuration settings. When a refined depth map is generated using the one or more additional images, this additional depth information is used to increase the depth precision for at least one depth estimate from the existing depth map.

    Abstract translation: 公开了用于识别用于捕获可用于改进现有深度图的图像的深度细化图像捕获指令的系统和方法。 通过在对应于现有深度图的现有图像中的每个图像补丁处,通过在一组配置设置上评估可能的深度值的范围来确定深度细化图像捕获指令。 每个可能的深度值范围对应于现有深度图的现有深度估计。 该评估允许以这样的方式选择一个或多个配置设置,使得将存在可以从由所选配置设置捕获的一个或多个附加图像导出的附加深度信息。 当使用一个或多个附加图像生成精细深度图时,该附加深度信息用于从现有深度图增加至少一个深度估计的深度精度。

    DEPTH MAP GENERATION
    6.
    发明申请
    DEPTH MAP GENERATION 有权
    深度地图生成

    公开(公告)号:US20160163053A1

    公开(公告)日:2016-06-09

    申请号:US15046021

    申请日:2016-02-17

    Abstract: Depth maps are generated from two or more of images captured with a conventional digital camera from the same viewpoint using different configuration settings, which may be arbitrarily selected for each image. The configuration settings may include aperture and focus settings and/or other configuration settings capable of introducing blur into an image. The depth of a selected image patch is evaluated over a set of discrete depth hypotheses using a depth likelihood function modeled to analyze corresponding images patches convolved with blur kernels using a flat prior in the frequency domain. In this way, the depth likelihood function may be evaluated without first reconstructing an all-in-focus image. Blur kernels used in the depth likelihood function and are identified from a mapping of depths and configuration settings to the blur kernels. This mapping is determined from calibration data for the digital camera used to capture the two or more images.

    Abstract translation: 使用不同的配置设置从相同的观点利用传统的数码相机捕获的两个或更多个图像生成深度贴图,这可以为每个图像任意选择。 配置设置可以包括能够将模糊引入到图像中的孔径和焦点设置和/或其他配置设置。 使用深度似然函数对所选图像块的深度进行评估,所述深度假设用模型来分析在频域中使用平坦先验的与模糊粒子卷积的相应图像片段。 以这种方式,可以在不首先重建全焦点图像的情况下评估深度似然函数。 在深度似然函数中使用的模糊内核,并从深度和配置设置到模糊内核的映射中识别。 该映射由用于捕获两个或更多个图像的数字照相机的校准数据确定。

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