Target region filling involving source regions, depth information, or occlusions
    11.
    发明授权
    Target region filling involving source regions, depth information, or occlusions 有权
    涉及源区域的目标区域填充,深度信息或遮挡

    公开(公告)号:US09350969B2

    公开(公告)日:2016-05-24

    申请号:US13866694

    申请日:2013-04-19

    CPC classification number: H04N13/111 H04N13/106

    Abstract: Target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable.

    Abstract translation: 描述目标区填充技术。 描述了在目标区域之间促进立体一致性的技术,例如通过在计算期间共享信息。 还描述了其中完成各个视差图的目标区域以促进视差图之间的一致性的技术。 然后可以将该估计的差异用作在目标区域中完成缺失纹理的指导。 进一步描述了通过利用多个图像来采用跨图像搜索和匹配的技术。 这可能包括优先考虑与跨图像一致性的匹配以促进一致性,从而在适用时实现立体图像之间的立体一致性。

    Stereo correspondence smoothness tool
    12.
    发明授权
    Stereo correspondence smoothness tool 有权
    立体声对应平滑度工具

    公开(公告)号:US09208547B2

    公开(公告)日:2015-12-08

    申请号:US13720258

    申请日:2012-12-19

    CPC classification number: G06T5/50 G06T5/002 G06T2207/10012 G06T2207/20104

    Abstract: Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.

    Abstract translation: 描述了立体对应平滑度工具技术。 在一个或多个实现中,在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应,至少部分基于用户定义的区域进行的计算,以指示要在用户定义区域中针对像素计算的差异的平滑度。

    Optical flow accounting for image haze
    13.
    发明授权
    Optical flow accounting for image haze 有权
    图像浊度的光流量

    公开(公告)号:US09031345B2

    公开(公告)日:2015-05-12

    申请号:US13794408

    申请日:2013-03-11

    CPC classification number: G06T5/003 G06T5/50 G06T7/269 G06T2207/10016

    Abstract: In embodiments of optical flow accounting for image haze, digital images may include objects that are at least partially obscured by a haze that is visible in the digital images, and an estimate of light that is contributed by the haze in the digital images can be determined. The haze can be cleared from the digital images based on the estimate of the light that is contributed by the haze, and clearer digital images can be generated. An optical flow between the clearer digital images can then be computed, and the clearer digital images refined based on the optical flow to further clear the haze from the images in an iterative process to improve visibility of the objects in the digital images.

    Abstract translation: 在考虑图像雾度的光学流量的实施例中,数字图像可以包括由数字图像中可见的雾度至少部分地模糊的对象,并且可以确定由数字图像中的雾度贡献的光的估计 。 可以基于由雾度贡献的光的估计,从数字图像中清除雾度,并且可以产生更清晰的数字图像。 然后可以计算更清晰的数字图像之间的光流,并且基于光流改进更清晰的数字图像,以在迭代过程中进一步清除来自图像的雾度,以提高数字图像中的对象的可视性。

    Optical Flow Accounting for Image Haze
    14.
    发明申请
    Optical Flow Accounting for Image Haze 有权
    图像雾度的光流会计

    公开(公告)号:US20140254943A1

    公开(公告)日:2014-09-11

    申请号:US13794408

    申请日:2013-03-11

    CPC classification number: G06T5/003 G06T5/50 G06T7/269 G06T2207/10016

    Abstract: In embodiments of optical flow accounting for image haze, digital images may include objects that are at least partially obscured by a haze that is visible in the digital images, and an estimate of light that is contributed by the haze in the digital images can be determined The haze can be cleared from the digital images based on the estimate of the light that is contributed by the haze, and clearer digital images can be generated. An optical flow between the clearer digital images can then be computed, and the clearer digital images refined based on the optical flow to further clear the haze from the images in an iterative process to improve visibility of the objects in the digital images.

    Abstract translation: 在考虑图像雾度的光学流量的实施例中,数字图像可以包括由数字图像中可见的雾度至少部分地模糊的对象,并且可以确定由数字图像中的雾度贡献的光的估计 可以基于由雾度贡献的光的估计,从数字图像中清除雾度,并且可以产生更清晰的数字图像。 然后可以计算更清晰的数字图像之间的光流,并且基于光流改进更清晰的数字图像,以在迭代过程中进一步清除来自图像的雾度,以提高数字图像中的对象的可视性。

    Stereo Correspondence Smoothness Tool
    15.
    发明申请
    Stereo Correspondence Smoothness Tool 有权
    立体声通信平滑度工具

    公开(公告)号:US20140169660A1

    公开(公告)日:2014-06-19

    申请号:US13720258

    申请日:2012-12-19

    CPC classification number: G06T5/50 G06T5/002 G06T2207/10012 G06T2207/20104

    Abstract: Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.

    Abstract translation: 描述了立体对应平滑度工具技术。 在一个或多个实现中,在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应,至少部分基于用户定义的区域进行的计算,以指示要在用户定义区域中针对像素计算的差异的平滑度。

    Stereo Correspondence Model Fitting
    16.
    发明申请
    Stereo Correspondence Model Fitting 审中-公开
    立体声对应模型配件

    公开(公告)号:US20140168215A1

    公开(公告)日:2014-06-19

    申请号:US13720316

    申请日:2012-12-19

    CPC classification number: G06T7/593 G06T17/00 G06T17/10 G06T2200/04

    Abstract: Stereo correspondence model fitting techniques are described. In one or more implementations, a model may be fit to a region in at least one of a plurality of stereoscopic images of an image scene. The model may then be used as part of a stereo correspondence calculation, which may include computing disparities for the region based at least in part on correspondence to the model.

    Abstract translation: 描述了立体声对应模型拟合技术。 在一个或多个实现中,模型可以适合于图像场景的多个立体图像中的至少一个中的区域。 该模型然后可以用作立体声对应计算的一部分,其可以包括至少部分地基于与模型的对应关系来计算区域的差异。

    Image Search using Emotions
    18.
    发明申请

    公开(公告)号:US20170132290A1

    公开(公告)日:2017-05-11

    申请号:US14938752

    申请日:2015-11-11

    CPC classification number: G06N3/08 G06F16/5854 G06N5/022 G06N20/00

    Abstract: Image search techniques and systems involving emotions are described. In one or more implementations, a digital medium environment of a content sharing service is described for image search result configuration and control based on a search request that indicates an emotion. The search request is received that includes one or more keywords and specifies an emotion. Images are located that are available for licensing by matching one or more tags associated with the image with the one or more keywords and as corresponding to the emotion. The emotion of the images is identified using one or more models that are trained using machine learning based at least in part on training images having tagged emotions. Output is controlled of a search result having one or more representations of the images that are selectable to license respective images from the content sharing service.

    Video Denoising Using Optical Flow
    20.
    发明申请
    Video Denoising Using Optical Flow 有权
    视频去噪使用光流

    公开(公告)号:US20150262336A1

    公开(公告)日:2015-09-17

    申请号:US14205027

    申请日:2014-03-11

    Abstract: In techniques for video denoising using optical flow, image frames of video content include noise that corrupts the video content. A reference frame is selected, and matching patches to an image patch in the reference frame are determined from within the reference frame. A noise estimate is computed for previous and subsequent image frames relative to the reference frame. The noise estimate for an image frame is computed based on optical flow, and is usable to determine a contribution of similar motion patches to denoise the image patch in the reference frame. The similar motion patches from the previous and subsequent image frames that correspond to the image patch in the reference frame are determined based on the optical flow computations. The image patch is denoised based on an average of the matching patches from reference frame and the similar motion patches determined from the previous and subsequent image frames.

    Abstract translation: 在使用光流的视频去噪的技术中,视频内容的图像帧包括破坏视频内容的噪声。 选择参考帧,并且从参考帧内确定参考帧中的图像块的匹配补丁。 针对相对于参考帧的先前和后续图像帧计算噪声估计。 基于光流计算图像帧的噪声估计,并且可用于确定类似运动补丁对参考帧中的图像补丁进行去噪的贡献。 基于光流计算确定与参考帧中的图像块相对应的来自先前和后续图像帧的类似运动补丁。 基于来自参考帧的匹配补丁的平均值和从先前和后续图像帧确定的类似运动补丁,去除图像补丁。

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