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1. 发明申请

US20050253854A1 Method and system for performing computer graphic simulation of a fluid using target-driven control 失效
标题翻译：使用目标驱动控制对流体进行计算机图形仿真的方法和系统
公开(公告)号：US20050253854A1
公开(公告)日：2005-11-17
申请号：US11128227
申请日：2005-05-13
申请人： Daniel Lischinski , Raanan Fattal
发明人： Daniel Lischinski , Raanan Fattal
IPC分类号： G06T13/00 , G06T15/70
CPC分类号： G06T13/60 , G06T2210/24
摘要： Method and system for efficiently controlling animated smoke which utilizes a sequence of target smoke states to generate a smoke simulation in which the smoke is driven towards each of these targets in turn, while exhibiting natural-looking interesting smoke-like behavior. This control is made possible by two new terms added to standard flow equations: (i) a driving force term that causes the fluid to carry the smoke towards a particular target, and (ii) a smoke gathering term that prevents the smoke from diffusing too much. These terms are explicitly defined by the instantaneous state of the system at each simulation time step. Thus, no expensive optimization is required, allowing complex smoke animations to be generated with very little additional cost compared to ordinary flow simulations. The invention is also applicable to animation of other fluid flow phenomena.
摘要翻译：用于有效地控制动画烟雾的方法和系统，其利用一系列目标烟雾状态来产生烟雾模拟，其中烟雾依次驱动到这些目标中的每一个，同时呈现自然的有趣的烟雾状态。这种控制是通过添加到标准流量方程中的两个新项来实现的：（i）导致流体将烟雾传送到特定目标的驱动力项，以及（ii）防止烟雾扩散的烟雾聚集术语许多。这些术语由每个仿真时间步骤中系统的瞬时状态明确定义。因此，不需要昂贵的优化，与常规流模拟相比，可以以非常少的附加成本产生复杂的烟雾动画。本发明也适用于其他流体流动现象的动画。

2. 发明申请

US20140219579A1 APPLYING RAPID NUMERICAL APPROXIMATION OF CONVOLUTIONS WITH FILTERS FOR IMAGE PROCESSING PURPOSES 有权
标题翻译：适用于图像处理过滤器的转换的快速数值逼近
公开(公告)号：US20140219579A1
公开(公告)日：2014-08-07
申请号：US14128966
申请日：2012-06-27
申请人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
发明人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
IPC分类号： G06T3/40
CPC分类号： G06T3/4084 , G06F17/15 , G06T5/20
摘要： A computer implemented method for A computer implemented method for applying a numerical approximation of a convolution of image I as represented by hierarchical signals al of level l with filter f, said method including the steps of: generating a forward transformation by applying a convolution between al and kernel h1 for each level of hierarchy l and by down-sampling the result of convolved al and h1; generating a backward transformation by applying, for each level of hierarchy l, a convolution between kernel h2 and an up-sampled forward transformation and combining the result with a convolution of al with kernel g; and combining the forward transformation with the backward transformation, to yield â0 being an approximation of a convolution between a and f, wherein kernels h1, h1, and g are optimized kernels of filter f.
摘要翻译：一种用于A计算机实现的方法的计算机实现方法，用于对具有滤波器f的级别l的分层信号a1表示的图像I的卷积进行数值近似，所述方法包括以下步骤：通过应用al之间的卷积来生成正向变换对于每个层次l的内核h1和通过对采用卷积的al和h1的结果进行下采样; 通过对每个级别l应用内核h2和上采样正向变换之间的卷积，并将结果与al与卷积g相结合，产生反向变换; 并将前向变换与反向变换相结合，得到α是a和f之间的卷积近似值，其中，内核h1，h1和g是滤波器f的优化内核。

3. 发明授权

US09361663B2 Applying rapid numerical approximation of convolutions with filters for image processing purposes 有权
标题翻译：应用快速数值近似的滤波器进行图像处理
公开(公告)号：US09361663B2
公开(公告)日：2016-06-07
申请号：US14128966
申请日：2012-06-27
申请人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
发明人： Daniel Lischinski , Raanan Fattal , Zeev Farbman
IPC分类号： G06K9/64 , G06T3/40 , G06F17/15 , G06T5/20
CPC分类号： G06T3/4084 , G06F17/15 , G06T5/20
摘要： A computer implemented method for applying a numerical approximation of a convolution of image I as represented by hierarchical signals al of level l with filter f, said method including the steps of: generating a forward transformation by applying a convolution between al and kernel h1 for each level of hierarchy l and by down-sampling the result of convolved al and h1; generating a backward transformation by applying, for each level of hierarchy l, a convolution between kernel h2 and an up-sampled forward transformation and combining the result with a convolution of al with kernel g; and combining the forward transformation with the backward transformation, to yield â0 being an approximation of a convolution between a and f, wherein kernels h1, h1, and g are optimized kernels of filter f.
摘要翻译：一种计算机实现的方法，用于应用图像I的卷积的数值近似，其由级别l的分层信号a1表示为具有滤波器f，所述方法包括以下步骤：通过对于每个，通过应用al和内核h1之间的卷积来生成正向变换层次l的层次，并通过对采用卷积al和h1的结果进行下采样; 通过对每个级别l应用内核h2和上采样正向变换之间的卷积，并将结果与al与卷积g相结合，产生反向变换; 并将前向变换与反向变换相结合，得到α是a和f之间的卷积近似值，其中，内核h1，h1和g是滤波器f的优化内核。

4. 发明授权

US07479963B2 Method and system for performing computer graphic simulation of a fluid using target-driven control 失效
标题翻译：使用目标驱动控制对流体进行计算机图形仿真的方法和系统
公开(公告)号：US07479963B2
公开(公告)日：2009-01-20
申请号：US11128227
申请日：2005-05-13
申请人： Daniel Lischinski , Raanan Fattal
发明人： Daniel Lischinski , Raanan Fattal
IPC分类号： G06T15/00
CPC分类号： G06T13/60 , G06T2210/24
摘要： Method and system for efficiently controlling animated smoke which utilizes a sequence of target smoke states to generate a smoke simulation in which the smoke is driven towards each of these targets in turn, while exhibiting natural-looking interesting smoke-like behavior. This control is made possible by two new terms added to standard flow equations: (i) a driving force term that causes the fluid to carry the smoke towards a particular target, and (ii) a smoke gathering term that prevents the smoke from diffusing too much. These terms are explicitly defined by the instantaneous state of the system at each simulation time step. Thus, no expensive optimization is required, allowing complex smoke animations to be generated with very little additional cost compared to ordinary flow simulations. The invention is also applicable to animation of other fluid flow phenomena.
摘要翻译：用于有效地控制动画烟雾的方法和系统，其利用一系列目标烟雾状态来产生烟雾模拟，其中烟雾依次驱动到这些目标中的每一个，同时呈现自然的有趣的烟雾状态。这种控制是通过添加到标准流量方程中的两个新项来实现的：（i）导致流体将烟雾传送到特定目标的驱动力项，以及（ii）防止烟雾扩散的烟雾聚集术语许多。这些术语由每个仿真时间步骤中系统的瞬时状态明确定义。因此，不需要昂贵的优化，与常规流模拟相比，可以以非常少的附加成本产生复杂的烟雾动画。本发明也适用于其他流体流动现象的动画。

5. 发明授权

US07305144B2 System and method for compressing the dynamic range of an image 有权
标题翻译：用于压缩图像的动态范围的系统和方法
公开(公告)号：US07305144B2
公开(公告)日：2007-12-04
申请号：US10813691
申请日：2003-01-15
申请人： Raanan Fattal , Daniel Lischinski , Michael Werman
发明人： Raanan Fattal , Daniel Lischinski , Michael Werman
IPC分类号： G06K9/40
CPC分类号： G06T5/009 , G06T5/40 , G06T5/50 , H04N1/4072 , H04N19/117 , H04N19/14 , H04N19/172 , H04N19/33
摘要： A gradient domain compression system generates, from an input image having a high luminance dynamic range, an output image having a lower luminance dynamic range. The system comprises a gradient image generator module, a gradient compression module, and an output image generator module. The gradient image generator module is configured to generate, from the input image, a gradient image representing, for respective points of the input image, gradient values in the luminance of the input image. The gradient compression module is configured to receive the gradient image and generate a compressed range gradient image in which the range of gradient values are compressed. The output image generator module is configured to receive the compressed range gradient image and to generate therefrom an image, the image generated by the output image generator module comprising the output image.
摘要翻译：梯度域压缩系统从具有高亮度动态范围的输入图像生成具有较低亮度动态范围的输出图像。该系统包括梯度图像发生器模块，梯度压缩模块和输出图像发生器模块。梯度图像生成器模块被配置为从输入图像生成对于输入图像的各个点表示输入图像的亮度中的梯度值的梯度图像。梯度压缩模块被配置为接收梯度图像并生成其中梯度值的范围被压缩的压缩范围梯度图像。输出图像生成器模块被配置为接收压缩范围梯度图像并从其生成图像，由包括输出图像的输出图像生成器模块生成的图像。

6. 发明申请

US20130129213A1 Non-Rigid Dense Correspondence 有权
标题翻译：非刚性密集函数
公开(公告)号：US20130129213A1
公开(公告)日：2013-05-23
申请号：US13223202
申请日：2011-08-31
申请人： Elya Shechtman , Daniel Robert Goldman , Yoav HaCohen , Daniel Lischinski
发明人： Elya Shechtman , Daniel Robert Goldman , Yoav HaCohen , Daniel Lischinski
IPC分类号： G06K9/00
CPC分类号： G06T7/0028 , G06T7/33 , G06T2207/10024
摘要： Non-rigid dense correspondence (NRDC) for image enhancement may be performed. In one embodiment, a correspondence may be computed for each one of a plurality of regions of a source image to one of a plurality of regions of a reference image. Computing the correspondences may include searching within a search range for each of a plurality of image characteristics. One or more of the correspondences may be aggregated into matched regions. A global color transform and/or deblurring may be applied to the source image. In one embodiment, the global color transform and/or deblurring may be based on the matched regions. At least one of the search ranges may optionally be adjusted. In some embodiments, computing, aggregating, applying and/or deblurring, and adjusting may be iteratively performed.
摘要翻译：可以执行用于图像增强的非刚性密集对应（NRDC）。在一个实施例中，可以将源图像的多个区域中的每一个的对应关系计算为参考图像的多个区域之一。计算对应可以包括在搜索范围内搜索多个图像特征中的每一个。一个或多个通信可以被聚合成匹配的区域。全局颜色变换和/或去模糊可以应用于源图像。在一个实施例中，全局颜色变换和/或去模糊可以基于匹配区域。可以可选地调整至少一个搜索范围。在一些实施例中，可以迭代地执行计算，聚合，应用和/或去模糊和调整。

7. 发明申请

US20070165966A1 Closed form method and system for matting a foreground object in an image having a background 审中-公开
标题翻译：用于对具有背景的图像中的前景对象进行消光的闭合形式方法和系统
公开(公告)号：US20070165966A1
公开(公告)日：2007-07-19
申请号：US11487482
申请日：2006-07-17
申请人： Yair Weiss , Daniel Lischinski , Anat Levin
发明人： Yair Weiss , Daniel Lischinski , Anat Levin
IPC分类号： G06K9/36 , G06K9/34
CPC分类号： H04N5/272 , H04N5/275
摘要： In a method and system for matting a foreground object F having an opacity α constrained by associating a characteristic with selected pixels in an image having a background B, weights are determined for all edges of neighboring pixels for the image and used to build a Laplacian matrix L. The equation α is solved where α=arg min αT Lα s.t.αi=si, ∀i ∈ S, S is the group of selected pixels, and si is the value indicated by the associated characteristic. The equation Ii=αiFi+(1−αi)Bi is solved for F and B with additional smoothness assumptions on F and B; after which the foreground object F may be composited on a selected background B′ that may be the original background B or may be a different background, thus allowing foreground features to be extracted from the original image and copied to a different background.
摘要翻译：在具有通过将特征与具有背景B的图像中的所选像素相关联而具有不透明度α的前景对象F消除的方法和系统中，为图像的相邻像素的所有边缘确定权重，并且用于构建拉普拉斯矩阵方程式α被求解，其中α= arg minαL pha pha∈∈∈∈∈∈S S S is is is is is is is is 所选择的像素组以及相关联的特征所指示的值。方程式I> i i i）））<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< 对于F和B，对F和B进行额外的平滑假设求解/ SUB> 之后，可以将前景对象F合成到可以是原始背景B的选定背景B'上，或者可以是不同的背景，从而允许从原始图像提取前景特征并将其复制到不同的背景。

8. 发明授权

US08290294B2 Dehazing an image using a three-dimensional reference model 有权
标题翻译：使用三维参考模型打破图像
公开(公告)号：US08290294B2
公开(公告)日：2012-10-16
申请号：US12211512
申请日：2008-09-16
申请人： Johannes P. Kopf , Michael F. Cohen , Daniel Lischinski , Matthieu T. Uyttendaele
发明人： Johannes P. Kopf , Michael F. Cohen , Daniel Lischinski , Matthieu T. Uyttendaele
IPC分类号： G06K9/40 , G06K9/36
CPC分类号： G06K9/00624 , G06K9/4652 , G06T5/003 , G06T5/009
摘要： An image may be dehazed using a three-dimensional reference model. In an example embodiment, a device-implemented method for dehazing includes acts of registering, estimating, and producing. An image that includes haze is registered to a reference model. A haze curve is estimated for the image based on a relationship between colors in the image and colors and depths of the reference model. A dehazed image is produced by using the estimated haze curve to reduce the haze of the image.
摘要翻译：使用三维参考模型可能会使图像变得震惊。在示例性实施例中，用于脱机的设备实现的方法包括注册，估计和生成的动作。包含雾度的图像被注册到参考模型。基于图像中的颜色与参考模型的颜色和深度之间的关系来估计图像的雾度曲线。通过使用估计的雾度曲线来减少图像的雾度来产生脱色的图像。

9. 发明申请

US20090278859A1 CLOSED FORM METHOD AND SYSTEM FOR MATTING A FOREGROUND OBJECT IN AN IMAGE HAVING A BACKGROUND 有权
标题翻译：用于在具有背景的图像中对前置对象进行匹配的封闭形式方法和系统
公开(公告)号：US20090278859A1
公开(公告)日：2009-11-12
申请号：US12497800
申请日：2009-07-06
申请人： Yair Weiss , Daniel Lischinski , Anat Levin
发明人： Yair Weiss , Daniel Lischinski , Anat Levin
IPC分类号： G09G5/00
CPC分类号： H04N5/272 , H04N5/275
摘要： In a method and system for matting a foreground object F having an opacity α constrained by associating a characteristic with selected pixels in an image having a background B, weights are determined for all edges of neighboring pixels for the image and used to build a Laplacian matrix L. The equation α is solved where α=arg min αT Lα s.t.αi=si, ∀iεS, S is the group of selected pixels, and si is the value indicated by the associated characteristic. The equation Ii=αiFi+(1−αi)Bi is solved for F and B with additional smoothness assumptions on F and B; after which the foreground object F may be composited on a selected background B′ that may be the original background B or may be a different background, thus allowing foreground features to be extracted from the original image and copied to a different background.
摘要翻译：在具有通过将特征与具有背景B的图像中的所选像素相关联而具有不透明度α的前景对象F消除的方法和系统中，为图像的相邻像素的所有边缘确定权重，并用于构建拉普拉斯矩阵其中α= arg min alphaT Lalpha stalphai = si，∀iepsilonS，S是所选像素的组，si是由相关特征指示的值，求解方程α。对于F和B求解方程Ii = alphaiFi +（1-alphai）Bi对F和B具有额外的平滑度假设; 之后，可以将前景对象F合成到可以是原始背景B的选定背景B'上，或者可以是不同的背景，从而允许从原始图像提取前景特征并将其复制到不同的背景。

10. 发明授权

US07692664B2 Closed form method and system for matting a foreground object in an image having a background 有权
标题翻译：用于对具有背景的图像中的前景对象进行消光的闭合形式方法和系统
公开(公告)号：US07692664B2
公开(公告)日：2010-04-06
申请号：US12497800
申请日：2009-07-06
申请人： Yair Weiss , Daniel Lischinski , Anat Levin
发明人： Yair Weiss , Daniel Lischinski , Anat Levin
IPC分类号： G09G5/02
CPC分类号： H04N5/272 , H04N5/275
摘要： In a method and system for matting a foreground object F having an opacity α constrained by associating a characteristic with selected pixels in an image having a background B, weights are determined for all edges of neighboring pixels for the image and used to build a Laplacian matrix L. The equation α is solved where α=arg min αT Lα s.t.αi=si, ∀iεS, S is the group of selected pixels, and si is the value indicated by the associated characteristic. The equation Ii=αiFi+(1−αi)Bi is solved for F and B with additional smoothness assumptions on F and B; after which the foreground object F may be composited on a selected background B′ that may be the original background B or may be a different background, thus allowing foreground features to be extracted from the original image and copied to a different background.
摘要翻译：在通过将特征与具有背景B的图像中的所选像素相关联而具有不透明度α的前景对象F的方法和系统中，为图像的相邻像素的所有边缘确定权重，并用于构建拉普拉斯矩阵求解方程α其中α= arg minαTLαstαi= si，∀i＆egr; S，S是所选像素的组，si是由相关特征表示的值。对F和B求解方程Ii =αiFi+（1-αi）Bi，对F和B进行额外的平滑假设; 之后，可以将前景对象F合成到可以是原始背景B的选定背景B'上，或者可以是不同的背景，从而允许从原始图像提取前景特征并将其复制到不同的背景。

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