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公开(公告)号：US20140210844A1
公开(公告)日：2014-07-31
申请号：US14114747
申请日：2011-04-29
IPC分类号： G06T11/00
CPC分类号： G06T11/001 , G02B27/0012 , G06T15/06 , G06T15/50
摘要： A method and device for efficiently simulating lens flares produced by an optical system is provided. The method comprises the steps of—Simulating paths of rays from a light source through the optical system, the rays representing light; and Estimating, for points in a sensor plane, an irradiance, based on intersections of the simulated paths with the sensor plane.
摘要翻译： 提供一种用于有效地模拟由光学系统产生的透镜闪光的方法和装置。 该方法包括以下步骤：模拟来自光源的光线通过光学系统的路径，所述光线代表光; 并且对于传感器平面中的点，基于模拟路径与传感器平面的交点来估计辐照度。
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2.发明授权公开(公告)号：US08384714B2
公开(公告)日：2013-02-26
申请号：US12343654
申请日：2008-12-24
IPC分类号： G06T17/00
CPC分类号： G06T7/251 , G06T13/40 , G06T2207/10016 , G06T2207/20016 , G06T2207/30196
摘要： A variety of methods, devices and storage mediums are implemented for creating digital representations of figures. According to one such computer implemented method, a volumetric representation of a figure is correlated with an image of the figure. Reference points are found that are common to each of two temporally distinct images of the figure, the reference points representing movement of the figure between the two images. A volumetric deformation is applied to the digital representation of the figure as a function of the reference points and the correlation of the volumetric representation of the figure. A fine deformation is applied as a function of the coarse/volumetric deformation. Responsive to the applied deformations, an updated digital representation of the figure is generated.
摘要翻译： 实现各种方法，设备和存储介质以创建图形的数字表示。 根据一种这样的计算机实现的方法，图的体积表示与图的图像相关。 发现参考点，其是图中两个时间上不同的图像中的每一个共同的参考点，参考点表示两个图像之间的图形的移动。 体积变形作为参考点的函数和图的体积表示的相关性应用于图的数字表示。 作为粗/体积变形的函数施加微细变形。 响应于所应用的变形，生成图形的更新的数字表示。
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公开(公告)号：US20100172411A1
公开(公告)日：2010-07-08
申请号：US12160738
申请日：2006-09-07
IPC分类号： H04N7/12
CPC分类号： H04N19/50 , H04N19/105 , H04N19/124 , H04N19/136 , H04N19/184 , H04N19/186 , H04N19/187 , H04N19/33 , H04N19/59 , H04N19/63 , H04N19/98
摘要： A method for encoding high dynamic ränge (HDR) images involves providing a lower dynamic ränge (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
摘要翻译： 用于编码高动态范围（HDR）图像的方法涉及提供较低动态范围（LDR）图像，产生用于基于LDR图像中的相应像素的值估计HDR图像中的像素的值的预测函数，并且获得 基于HDR图像的像素值与估计像素值之间的差异的残差帧。 LDR图像，预测函数和残差帧都可以在数据中进行编码，从而可以重新创建HDR图像的LDR图像。
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公开(公告)号：US20090079758A1
公开(公告)日：2009-03-26
申请号：US11902683
申请日：2007-09-25
申请人： Thomas Annen , Hans-Peter Seidel , Jan Kautz , Tom Mertens
发明人： Thomas Annen , Hans-Peter Seidel , Jan Kautz , Tom Mertens
IPC分类号： G09G5/00
CPC分类号： G06T15/60 , G09G5/363 , G09G2360/18
摘要： A method and a device for determining shadows in a computer-generated image are provided, wherein the determination whether a pixel x is in shadow is based on a shadow test function ƒ(d(x), z(P)), d(x) representing the depth of the pixel x with respect to the light source and z(p) being a shadow map z for the computer-generated image. According to the invention, the shadow test function ƒ satisfies f ( d ( x ) , z ( p ) ) = ∑ i = 1 N a i ( d ( x ) ) B i ( z ( p ) ) wherein ai are weighting coefficients depending on d, Bi are basis functions in terms of z and N is a natural number.
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公开(公告)号：US20140218488A1
公开(公告)日：2014-08-07
申请号：US14118197
申请日：2012-05-18
IPC分类号： G06T7/00
CPC分类号： G06T7/85 , G06T5/001 , G06T7/593 , G06T7/97 , G06T2207/10012 , G06T2207/10021 , H04N13/128
摘要： According to the invention, a computer-implemented method for processing digital stereo image content, comprises the steps of estimating a perceived disparity of the stereo image content and processing the stereo image content, based on the estimated perceived disparity.
摘要翻译： 根据本发明，用于处理数字立体声图像内容的计算机实现的方法包括以下步骤：基于估计的感知视差来估计立体图像内容的感知视差和处理立体图像内容。
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公开(公告)号：US20130207951A1
公开(公告)日：2013-08-15
申请号：US13643319
申请日：2011-04-28
IPC分类号： G09G5/10
CPC分类号： G09G5/10 , G06T3/40 , G06T5/50 , G09G2340/0407 , G09G2340/0457
摘要： A method for displaying a digital image on a display, the digital image having a higher resolution than the display, the method includes: generating a sequence of digital subimages having display resolution, based on the digital image; and displaying the digital subimages in sequence; characterized in that the sequence of digital subimages are generated based on a model of the retina.
摘要翻译： 一种用于在显示器上显示数字图像的方法，所述数字图像具有比所述显示器更高的分辨率，所述方法包括：基于所述数字图像生成具有显示分辨率的数字子图像序列; 并依次显示数字子图像; 其特征在于，基于视网膜的模型生成数字子图像的序列。
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公开(公告)号：US20120299922A1
公开(公告)日：2012-11-29
申请号：US13182662
申请日：2011-07-14
申请人： In Woo HA , Hyun Jung Shim , Tobias Ritschel , Do Kyoon Kim , Tae Hyun Rhee , Elmar Eisemann , Hans-Peter Seidel
发明人： In Woo HA , Hyun Jung Shim , Tobias Ritschel , Do Kyoon Kim , Tae Hyun Rhee , Elmar Eisemann , Hans-Peter Seidel
IPC分类号： G06T15/06
CPC分类号： G06T15/506
摘要： Provided is an image processing apparatus. The image processing apparatus may adaptively sample a virtual point light (VPL) at a light view within a three-dimensional (3D) model. The image processing apparatus may adaptively sample a surface point at a camera view.
摘要翻译： 提供了一种图像处理装置。 图像处理装置可以在三维（3D）模型内的光图像处自适应地采样虚拟点光源（VPL）。 图像处理装置可以在相机视图下自适应地采样表面点。
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公开(公告)号：US20090284529A1
公开(公告)日：2009-11-19
申请号：US12343654
申请日：2008-12-24
CPC分类号： G06T7/251 , G06T13/40 , G06T2207/10016 , G06T2207/20016 , G06T2207/30196
摘要： A variety of methods, devices and storage mediums are implemented for creating digital representations of figures. According to one such computer implemented method, a volumetric representation of a figure is correlated with an image of the figure. Reference points are found that are common to each of two temporally distinct images of the figure, the reference points representing movement of the figure between the two images. A volumetric deformation is applied to the digital representation of the figure as a function of the reference points and the correlation of the volumetric representation of the figure. A fine deformation is applied as a function of the coarse/volumetric deformation. Responsive to the applied deformations, an updated digital representation of the figure is generated.
摘要翻译： 实现各种方法，设备和存储介质以创建图形的数字表示。 根据一种这样的计算机实现的方法，图的体积表示与图的图像相关。 发现参考点，其是图中两个时间上不同的图像中的每一个共同的参考点，参考点表示两个图像之间的图形的移动。 体积变形作为参考点的函数和图的体积表示的相关性应用于图的数字表示。 作为粗/体积变形的函数施加微细变形。 响应于所应用的变形，生成图形的更新的数字表示。
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9.发明授权Computer-implemented method and apparatus for tracking and reshaping a human shaped figure in a digital world video 有权用于跟踪和重塑数字世界视频中的人形图形的计算机实现的方法和装置公开(公告)号：US09191579B2
公开(公告)日：2015-11-17
申请号：US13823813
申请日：2011-11-29
摘要： The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.
摘要翻译： 本发明涉及一种用于在数字视频中跟踪和重新形成人形图形的计算机实现的方法，包括以下步骤：从数字视频获取图形的身体模型，调整身体模型的形状，修改数字视频的帧 视频，基于适应的身体模型并输出数字视频。
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公开(公告)号：US08537893B2
公开(公告)日：2013-09-17
申请号：US12160738
申请日：2006-09-07
IPC分类号： H04N1/417
CPC分类号： H04N19/50 , H04N19/105 , H04N19/124 , H04N19/136 , H04N19/184 , H04N19/186 , H04N19/187 , H04N19/33 , H04N19/59 , H04N19/63 , H04N19/98
摘要： A method for encoding high dynamic ränge (HDR) images involves providing a lower dynamic ränge (LDR) image, generating a prediction function for estimating the values for pixels in the HDR image based on the values of corresponding pixels in the LDR image, and obtaining a residual frame based on differences between the pixel values of the HDR image and estimated pixel values. The LDR image, prediction function and residual frame can all be encoded in data from which either the LDR image of HDR image can be recreated.
摘要翻译： 用于编码高动态范围（HDR）图像的方法涉及提供较低动态范围（LDR）图像，产生用于基于LDR图像中的相应像素的值估计HDR图像中的像素的值的预测函数，以及获得 基于HDR图像的像素值与估计像素值之间的差异的残差帧。 LDR图像，预测函数和残差帧都可以在数据中进行编码，从而可以重新创建HDR图像的LDR图像。
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