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    • 2. 发明申请
    • Poisson matting for images
    • Poisson消光图像
    • US20070013813A1
    • 2007-01-18
    • US11183226
    • 2005-07-15
    • Jian SunJiaya JiaHeung-Yeung Shum
    • Jian SunJiaya JiaHeung-Yeung Shum
    • H04N9/74
    • G06T7/12G06T7/194G06T2207/20092
    • An exemplary method includes receiving a trimap for an image that specifies a background region, a foreground region and an unknown region for the image wherein a boundary exists between the foreground region and the unknown region and wherein another boundary exists between the unknown region and the background region, solving a set of Poisson equations having boundary conditions for the two boundaries to provide a matte that distinguishes a foreground region from a background region in the unknown region, and refining the matte by solving a set of Poisson equations for a local unknown region. Various other exemplary technologies are also presented.
    • 一种示例性方法包括:接收用于图像的微调,该图像指定用于图像的背景区域,前景区域和未知区域,其中在前景区域和未知区域之间存在边界,并且其中在未知区域和背景之间存在另一边界 区域,求解一组具有两个边界的边界条件的泊松方程,以提供区分未知区域中的前景区域和背景区域的无光泽,以及通过求解一组局部未知区域的泊松方程来改善无光泽。 还提出了各种其它示例性技术。
    • 4. 发明授权
    • Drag-and-drop pasting for seamless image composition
    • 拖放粘贴以进行无缝图像组合
    • US08351713B2
    • 2013-01-08
    • US11676806
    • 2007-02-20
    • Jian SunJiaya JiaHeung-Yeung Shum
    • Jian SunJiaya JiaHeung-Yeung Shum
    • G06K9/36
    • H04N1/3876G06T7/12G06T7/162G06T7/194G06T11/60G06T2207/10024G06T2207/20096
    • Systems and methods provide drag-and-drop pasting for seamless image composition. In one implementation, a user casually outlines a region of a source image that contains a visual object to be pasted into a target image. An exemplary system automatically calculates a new boundary within this region, such that when pasted at this boundary, visual seams are minimized. The system applies a shortest path calculation to find the optimal pasting boundary. The best path has minimal color variation along its length, thus avoiding structure and visual objects in the target image and providing the best chance for seamlessness. Poisson image editing is applied across this optimized boundary to blend colors. When the visual object being pasted has fine structure at its border that could be truncated by the Poisson editing, the exemplary system integrates the alpha matte of the visual object into the Poisson equations to protect the fine structure.
    • 系统和方法为无缝图像组合提供拖放粘贴。 在一个实现中,用户随意地概括了包含要粘贴到目标图像中的视觉对象的源图像的区域。 示例性系统自动计算该区域内的新边界,使得当粘贴在该边界处时,视觉接缝被最小化。 系统应用最短路径计算来找到最佳粘贴边界。 最佳路径沿其长度具有最小的颜色变化,从而避免了目标图像中的结构和视觉对象,并提供了无缝隙的最佳机会。 Poisson图像编辑应用于这个优化的边界以混合颜色。 当粘贴的视觉对象在其边界处具有可被泊松编辑截断的精细结构时,示例性系统将视觉对象的阿尔法无光泽整合到泊松方程中以保护精细结构。
    • 7. 发明授权
    • Poisson matting for images
    • Poisson消光图像
    • US07636128B2
    • 2009-12-22
    • US11183226
    • 2005-07-15
    • Jian SunJiaya JiaHeung-Yeung Shum
    • Jian SunJiaya JiaHeung-Yeung Shum
    • H04N9/74H04N9/76
    • G06T7/12G06T7/194G06T2207/20092
    • An exemplary method includes receiving a trimap for an image that specifies a background region, a foreground region and an unknown region for the image wherein a boundary exists between the foreground region and the unknown region and wherein another boundary exists between the unknown region and the background region, solving a set of Poisson equations having boundary conditions for the two boundaries to provide a matte that distinguishes a foreground region from a background region in the unknown region, and refining the matte by solving a set of Poisson equations for a local unknown region. Various other exemplary technologies are also presented.
    • 一种示例性方法包括:接收用于图像的微调,该图像指定用于图像的背景区域,前景区域和未知区域,其中在前景区域和未知区域之间存在边界,并且其中在未知区域和背景之间存在另一边界 区域,求解一组具有两个边界的边界条件的泊松方程,以提供区分未知区域中的前景区域和背景区域的无光泽,以及通过求解一组局部未知区域的泊松方程来改善无光泽。 还提出了各种其它示例性技术。
    • 8. 发明申请
    • Drag-And-Drop Pasting For Seamless Image Composition
    • 拖放和粘贴无缝图像组合
    • US20080198175A1
    • 2008-08-21
    • US11676806
    • 2007-02-20
    • Jian SunJiaya JiaHeung-Yeung Shum
    • Jian SunJiaya JiaHeung-Yeung Shum
    • G06T1/00
    • H04N1/3876G06T7/12G06T7/162G06T7/194G06T11/60G06T2207/10024G06T2207/20096
    • Systems and methods provide drag-and-drop pasting for seamless image composition. In one implementation, a user casually outlines a region of a source image that contains a visual object to be pasted into a target image. An exemplary system automatically calculates a new boundary within this region, such that when pasted at this boundary, visual seams are minimized. The system applies a shortest path calculation to find the optimal pasting boundary. The best path has minimal color variation along its length, thus avoiding structure and visual objects in the target image and providing the best chance for seamlessness. Poisson image editing is applied across this optimized boundary to blend colors. When the visual object being pasted has fine structure at its border that could be truncated by the Poisson editing, the exemplary system integrates the alpha matte of the visual object into the Poisson equations to protect the fine structure.
    • 系统和方法为无缝图像组合提供拖放粘贴。 在一个实现中,用户随意地概括了包含要粘贴到目标图像中的视觉对象的源图像的区域。 示例性系统自动计算该区域内的新边界,使得当粘贴在该边界处时,视觉接缝被最小化。 系统应用最短路径计算来找到最佳粘贴边界。 最佳路径沿其长度具有最小的颜色变化,从而避免了目标图像中的结构和视觉对象,并提供了无缝隙的最佳机会。 Poisson图像编辑应用于这个优化的边界以混合颜色。 当粘贴的视觉对象在其边界处具有可被泊松编辑截断的精细结构时,示例性系统将视觉对象的α无光泽整合到泊松方程中以保护精细结构。