Symmetry-based interpolation in images
    1.
    发明授权
    Symmetry-based interpolation in images 有权
    图像中的基于对称的插值

    公开(公告)号:US09240055B1

    公开(公告)日:2016-01-19

    申请号:US14487650

    申请日:2014-09-16

    Applicant: Google Inc.

    CPC classification number: G06T7/608 G06T5/005 G06T7/68 G06T11/60

    Abstract: The aspects described herein relate to replacing pixels in images in order to remove obstructions from images. In one example, an image of a scene having symmetrical features and image information identifying at least one pixel of the image corresponding to a hole to be filled may be received. This hole may correspond to an obstruction in the image. A set of symmetry axes may be identified based on the symmetrical features. A symmetry map identifying correspondences between different pixels in the image based on the set of symmetry axes may be generated. A correspondence between the at least one pixel corresponding to a hole to be filled and a second pixel of the image is identified based at least in part on the symmetry map and the image information. The at least one pixel may be altered based on the identified correspondence in order to remove the obstruction.

    Abstract translation: 本文描述的方面涉及替换图像中的像素,以便从图像中去除障碍物。 在一个示例中,可以接收具有对称特征的场景的图像和识别与要填充的孔相对应的图像的至少一个像素的图像信息。 该孔可以对应于图像中的障碍物。 可以基于对称特征来识别一组对称轴。 可以生成基于对称轴集合来识别图像中的不同像素之间的对应关系的对称图。 至少部分地基于对称图和图像信息来识别与要填充的孔相对应的至少一个像素与图像的第二像素之间的对应关系。 可以基于所识别的对应关系来改变至少一个像素,以便去除障碍物。

    Processing a Texture Atlas Using Manifold Neighbors

    公开(公告)号:US20170278293A1

    公开(公告)日:2017-09-28

    申请号:US13945390

    申请日:2013-07-18

    Applicant: Google Inc.

    CPC classification number: G06T15/04 G06T11/001

    Abstract: Systems and methods for processing textures to be applied to surface of a three-dimensional model, such as a three-dimensional model of a geographic area, are provided. According to aspects of the present disclosure, a two-dimensional image processing operation can be performed in the two-dimensional texture atlas space defined by a texture atlas using manifold neighborhoods defined for pixels in the texture atlas. The manifold neighborhood for a pixel can be the set of texture atlas pixels whose corresponding position on the surface of the three-dimensional model lies within a threshold distance of the surface position corresponding to the pixel in the three-dimensional model. The two-dimensional image processing operations can be performed using the set of texture atlas pixels in the manifold neighborhood.

    System and method for scene dependent multi-band blending
    3.
    发明授权
    System and method for scene dependent multi-band blending 有权
    用于场景相关多频带混合的系统和方法

    公开(公告)号:US09454803B1

    公开(公告)日:2016-09-27

    申请号:US14331260

    申请日:2014-07-15

    Applicant: Google Inc.

    CPC classification number: G06T5/001 G06K9/0063 G06K9/6289 G06T3/40 G06T15/503

    Abstract: Systems and methods for generating a composite image from a plurality of source images using a scene dependent multi-band blending operation are provided. The multi-band blending operation implements a filtering operation to reduce blending between objects or surfaces that have natural color and/or brightness differences. More particularly, the typical space invariant upsampling that occurs during multi-band blending can be replaced by a scene dependent filtering operation during upsampling that omits or reduces contributions from pixels associated with different objects in a scene during the multi-band blending process. The scene dependent filtering can be based on scene dependent data, such as height data or slope data, which can be used to identify different objects in a scene.

    Abstract translation: 提供了使用场景相关多频带混合操作从多个源图像生成合成图像的系统和方法。 多频带混合操作实现滤波操作以减少具有自然颜色和/或亮度差异的对象或表面之间的混合。 更具体地说,在多频带混合过程期间发生的典型的空间不变上调采样可以由上采样期间的场景相关滤波操作代替,省略或减少在多频带混合处理期间场景中与不同对象相关联的像素的贡献。 场景相关过滤可以基于场景相关数据,例如高度数据或斜率数据,可用于识别场景中的不同对象。

    System and method for scene dependent multi-band blending
    6.
    发明授权
    System and method for scene dependent multi-band blending 有权
    用于场景相关多频带混合的系统和方法

    公开(公告)号:US08811764B1

    公开(公告)日:2014-08-19

    申请号:US13660257

    申请日:2012-10-25

    Applicant: Google Inc.

    CPC classification number: G06T5/001 G06K9/0063 G06K9/6289 G06T3/40 G06T15/503

    Abstract: Systems and methods for generating a composite image from a plurality of source images using a scene dependent multi-band blending operation are provided. The multi-band blending operation implements a filtering operation to reduce blending between objects or surfaces that have natural color and/or brightness differences. More particularly, the typical space invariant upsampling that occurs during multi-band blending can be replaced by a scene dependent filtering operation during upsampling that omits or reduces contributions from pixels associated with different objects in a scene during the multi-band blending process. The scene dependent filtering can be based on scene dependent data, such as height data or slope data, which can be used to identify different objects in a scene.

    Abstract translation: 提供了使用场景相关多频带混合操作从多个源图像生成合成图像的系统和方法。 多频带混合操作实现滤波操作以减少具有自然颜色和/或亮度差异的对象或表面之间的混合。 更具体地说,在多频带混合过程期间发生的典型的空间不变上调采样可以由上采样期间的场景相关滤波操作代替,省略或减少在多频带混合处理期间场景中与不同对象相关联的像素的贡献。 场景相关过滤可以基于场景相关数据,例如高度数据或斜率数据,可用于识别场景中的不同对象。

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