Image classification for adjustment

    公开(公告)号:US09959479B2

    公开(公告)日:2018-05-01

    申请号:US15641171

    申请日:2017-07-03

    CPC classification number: G06K9/3275 G06K9/00664

    Abstract: Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.

    USING LABELS TO TRACK HIGH-FREQUENCY OFFSETS FOR PATCH-MATCHING ALGORITHMS

    公开(公告)号:US20180101942A1

    公开(公告)日:2018-04-12

    申请号:US15286905

    申请日:2016-10-06

    CPC classification number: G06K9/621 G06K9/38 G06K2009/6213 G06T7/003

    Abstract: Certain embodiments involve using labels to track high-frequency offsets for patch-matching. For example, a processor identifies an offset between a first source image patch and a first target image patch. If the first source image patch and the first target image patch are sufficiently similar, the processor updates a data structure to include a label specifying the offset. The processor associates, via the data structure, the first source image patch with the label. The processor subsequently selects certain high-frequency offsets, including the identified offset, from frequently occurring offsets in the data structure. The processor uses these offsets to identify a second target image patch, which is located at the identified offset from a second source image patch. The processor associates, via the data structure, the second source image patch with the identified offset based on a sufficient similarity between the second source image patch and the second target image patch.

    Image Classification for Adjustment
    45.
    发明申请

    公开(公告)号:US20170300771A1

    公开(公告)日:2017-10-19

    申请号:US15641171

    申请日:2017-07-03

    CPC classification number: G06K9/3275 G06K9/00664

    Abstract: Image classification techniques are described for adjustment of an image. In one or more implementations, an image is classified by one or more computing device based on suitability of the image for adjustment to correct perspective distortion of the image. Responsive to a classification of the image as not suitable for the adjustment, suitability of the image is detected for processing by a different image adjustment technique by the one or more computing devices.

    Content Aware Image Editing
    47.
    发明申请

    公开(公告)号:US20170116769A1

    公开(公告)日:2017-04-27

    申请号:US15398153

    申请日:2017-01-04

    Abstract: An image is displayed using a computer system. The image includes contents that have a visible feature therein at a first location. A first input is received that includes a user movement of at least the visible feature from the first location. During the user movement, the first location is synthesized with content from where the visible feature is currently located. A second input is received that specifies an end of the user movement at a second location. A source area in the image is identified. The method further includes identifying additional contents within the source area. The additional contents are identified using a patch-based optimization algorithm on the image. The method further includes updating the image to have the additional contents at least in the first location.

    Camera Calibration and Automatic Adjustment of Images
    48.
    发明申请
    Camera Calibration and Automatic Adjustment of Images 审中-公开
    相机校准和自动调整图像

    公开(公告)号:US20170069088A1

    公开(公告)日:2017-03-09

    申请号:US15357866

    申请日:2016-11-21

    Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.

    Abstract translation: 用于数字图像自动竖直调整的技术和设备。 描述了自动立式调节技术,其可以提供用于矫正输入图像中的倾斜特征的自动化方法,以提高其感知质量。 这种校正可以被称为直立调节。 可以在直立式调整中使用基于人类感知的一组标准。 描述了实现优化框架的重投影技术,其基于标准产生用于调整的最佳单应性,并且根据由优化生成的新的相机参数来调整图像。 描述了基于优化的相机校准技术,其同时估计图像的消失线和点以及相机参数; 例如,校准技术可以用于生成输入到重投影技术的相机参数和消失点和线的估计。

    Automatic adjustment of images using a homography
    49.
    发明授权
    Automatic adjustment of images using a homography 有权
    使用单应性自动调整图像

    公开(公告)号:US09582855B2

    公开(公告)日:2017-02-28

    申请号:US14681913

    申请日:2015-04-08

    Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.

    Abstract translation: 用于数字图像自动竖直调整的技术和设备。 描述了自动立式调节技术,其可以提供用于矫正输入图像中的倾斜特征的自动化方法,以提高其感知质量。 这种校正可以被称为直立调节。 可以在直立式调整中使用基于人类感知的一组标准。 描述了实现优化框架的重投影技术,其基于标准产生用于调整的最佳单应性,并且根据由优化生成的新的相机参数来调整图像。 描述了基于优化的相机校准技术,其同时估计图像的消失线和点以及相机参数; 例如,校准技术可以用于生成输入到重投影技术的相机参数和消失点和线的估计。

    Variable Patch Shape Synthesis
    50.
    发明申请
    Variable Patch Shape Synthesis 审中-公开
    可变补丁形状合成

    公开(公告)号:US20150235399A1

    公开(公告)日:2015-08-20

    申请号:US14185507

    申请日:2014-02-20

    CPC classification number: G06T11/60 G06T5/005

    Abstract: Variable patch shape synthesis techniques are described. In one or more implementations, a plurality of patches are computed from one or more images, at least one of the plurality of patches having a different shape than another one of the plurality of patches. The shapes define an area to be considered for use in a patch synthesis technique. The patch synthesis technique is performed to edit an image using the computed plurality of patches having the different shapes.

    Abstract translation: 描述了可变斑块形状合成技术。 在一个或多个实现中,从一个或多个图像计算多个补丁,所述多个补丁中的至少一个补丁具有与所述多个补丁中的另一个补丁不同的形状。 形状定义了要用于补片合成技术的区域。 执行贴片合成技术以使用计算出的具有不同形状的多个贴片来编辑图像。

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