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1. 发明申请

US20140002441A1 TEMPORALLY CONSISTENT DEPTH ESTIMATION FROM BINOCULAR VIDEOS 审中-公开
标题翻译：从双向视频中进行的一致深度估计
公开(公告)号：US20140002441A1
公开(公告)日：2014-01-02
申请号：US13537087
申请日：2012-06-29
申请人： Chun Ho Hung , Li Xu , Jiaya Jia , Lu Wang
发明人： Chun Ho Hung , Li Xu , Jiaya Jia , Lu Wang
IPC分类号： G06T15/00
CPC分类号： G06T7/593 , G06T7/12 , G06T7/143 , G06T7/215 , G06T2207/10021 , G06T2207/20164 , G06T2207/30241
摘要： The present invention relates to method and apparatus for temporally-consistent depth estimation. Such a depth estimation preserve both object boundary as well as temporal consistency using techniques of segmentation and pixel trajectory.
摘要翻译：本发明涉及时间一致的深度估计方法和装置。这样的深度估计使用分割和像素轨迹的技术来保留对象边界以及时间一致性。

2. 发明授权

US07463296B2 Digital cameras with luminance correction 有权
标题翻译：具有亮度校正的数码相机
公开(公告)号：US07463296B2
公开(公告)日：2008-12-09
申请号：US10817008
申请日：2004-04-01
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： H04N5/202 , H04N5/235
CPC分类号： H04N5/243 , G06T5/009 , G06T5/40 , G06T5/50 , G06T2207/10024 , G06T2207/10144 , H04N5/23248 , H04N5/2355
摘要： Techniques are disclosed to improve quality of images that may be blurred or underexposed (e.g., because of camera shake, taken in dim lighting conditions, or taken of high action scenes). The techniques may be implemented in a digital camera, digital video camera, or a digital camera capable of capturing video. In one described implementation, a digital camera includes an image sensor, a storage device, and a processing unit. The image sensor captures two images from a same scene which are stored on the storage device. The processing unit enhances the captured images with luminance correction.
摘要翻译：公开了提高可能模糊或曝光不足的图像质量的技术（例如，由于相机抖动，在昏暗的照明条件下拍摄或拍摄的高动作场景）。这些技术可以在能够捕获视频的数码相机，数字摄像机或数字照相机中实现。在一个描述的实施方案中，数字照相机包括图像传感器，存储装置和处理单元。图像传感器捕获存储在存储设备上的相同场景中的两个图像。处理单元通过亮度校正来增强拍摄图像。

3. 发明申请

US20070013813A1 Poisson matting for images 失效
标题翻译： Poisson消光图像
公开(公告)号：US20070013813A1
公开(公告)日：2007-01-18
申请号：US11183226
申请日：2005-07-15
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： H04N9/74
CPC分类号： G06T7/12 , G06T7/194 , G06T2207/20092
摘要： 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.
摘要翻译：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. 发明申请

US20050219391A1 Digital cameras with luminance correction 有权
标题翻译：具有亮度校正的数码相机
公开(公告)号：US20050219391A1
公开(公告)日：2005-10-06
申请号：US10817008
申请日：2004-04-01
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： G06T1/00 , G06T5/00 , G06T5/40 , G06T5/50 , H04N1/407 , H04N1/46 , H04N1/60 , H04N5/232 , H04N5/243 , H04N101/00 , H04N5/20 , G03F3/08 , G06K9/40
CPC分类号： H04N5/243 , G06T5/009 , G06T5/40 , G06T5/50 , G06T2207/10024 , G06T2207/10144 , H04N5/23248 , H04N5/2355
摘要： Techniques are disclosed to improve quality of images that may be blurred or underexposed (e.g., because of camera shake, taken in dim lighting conditions, or taken of high action scenes). The techniques may be implemented in a digital camera, digital video camera, or a digital camera capable of capturing video. In one described implementation, a digital camera includes an image sensor, a storage device, and a processing unit. The image sensor captures two images from a same scene which are stored on the storage device. The processing unit enhances the captured images with luminance correction.
摘要翻译：公开了提高可能模糊或曝光不足的图像质量的技术（例如，由于相机抖动，在昏暗的照明条件下拍摄或拍摄的高动作场景）。这些技术可以在能够捕获视频的数码相机，数字摄像机或数字照相机中实现。在一个描述的实施方案中，数字照相机包括图像传感器，存储装置和处理单元。图像传感器捕获存储在存储设备上的相同场景中的两个图像。处理单元通过亮度校正来增强拍摄图像。

5. 发明授权

US08351713B2 Drag-and-drop pasting for seamless image composition 有权
标题翻译：拖放粘贴以进行无缝图像组合
公开(公告)号：US08351713B2
公开(公告)日：2013-01-08
申请号：US11676806
申请日：2007-02-20
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： G06K9/36
CPC分类号： H04N1/3876 , G06T7/12 , G06T7/162 , G06T7/194 , G06T11/60 , G06T2207/10024 , G06T2207/20096
摘要： 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.
摘要翻译：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。

6. 发明授权

US07317843B2 Luminance correction 有权
标题翻译：亮度校正
公开(公告)号：US07317843B2
公开(公告)日：2008-01-08
申请号：US10817633
申请日：2004-04-01
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： G06K9/40 , G06K9/00
CPC分类号： G06T5/40 , G06T5/009 , G06T5/50 , G06T2207/10024 , G06T2207/10144 , H04N5/217 , H04N5/23229 , H04N5/2355 , H04N5/35581
摘要： Techniques are disclosed to improve quality of images that may be blurred or underexposed. In one described implementation, a method includes providing two images of a same scene. The method determines a spatial coherence and color statistics of the two images. The determined color statistics and spatial coherence are utilized to enhance one of the two images.
摘要翻译：公开了提高可能模糊或曝光不足的图像质量的技术。在一个描述的实现中，一种方法包括提供相同场景的两个图像。该方法确定两个图像的空间相干性和颜色统计。使用确定的颜色统计和空间相干性来增强两个图像之一。

7. 发明申请

US20050220359A1 Luminance correction 有权
标题翻译：亮度校正
公开(公告)号：US20050220359A1
公开(公告)日：2005-10-06
申请号：US10817633
申请日：2004-04-01
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： G06T1/00 , G06T5/00 , G06T5/40 , G06T5/50 , H04N1/407 , H04N1/46 , H04N1/60 , G06K9/00 , G06K9/40
CPC分类号： G06T5/40 , G06T5/009 , G06T5/50 , G06T2207/10024 , G06T2207/10144 , H04N5/217 , H04N5/23229 , H04N5/2355 , H04N5/35581
摘要： Techniques are disclosed to improve quality of images that may be blurred or underexposed. In one described implementation, a method includes providing two images of a same scene. The method determines a spatial coherence and color statistics of the two images. The determined color statistics and spatial coherence are utilized to enhance one of the two images.
摘要翻译：公开了提高可能模糊或曝光不足的图像质量的技术。在一个描述的实现中，一种方法包括提供相同场景的两个图像。该方法确定两个图像的空间相干性和颜色统计。使用确定的颜色统计和空间相干性来增强两个图像之一。

8. 发明授权

US07636128B2 Poisson matting for images 失效
标题翻译： Poisson消光图像
公开(公告)号：US07636128B2
公开(公告)日：2009-12-22
申请号：US11183226
申请日：2005-07-15
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： H04N9/74 , H04N9/76
CPC分类号： G06T7/12 , G06T7/194 , G06T2207/20092
摘要： 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.
摘要翻译：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。

9. 发明申请

US20080198175A1 Drag-And-Drop Pasting For Seamless Image Composition 有权
标题翻译：拖放和粘贴无缝图像组合
公开(公告)号：US20080198175A1
公开(公告)日：2008-08-21
申请号：US11676806
申请日：2007-02-20
申请人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
发明人： Jian Sun , Jiaya Jia , Heung-Yeung Shum
IPC分类号： G06T1/00
CPC分类号： H04N1/3876 , G06T7/12 , G06T7/162 , G06T7/194 , G06T11/60 , G06T2207/10024 , G06T2207/20096
摘要： 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.
摘要翻译：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。

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