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1. 发明申请

US20130003196A1 NON-PLANAR FOCAL SURFACE LENS ASSEMBLY 审中-公开
标题翻译：非平面光学表面镜头组件
公开(公告)号：US20130003196A1
公开(公告)日：2013-01-03
申请号：US13172168
申请日：2011-06-29
申请人： Brian Kevin Guenter , Neel Suresh Joshi , Changyin Zhou
发明人： Brian Kevin Guenter , Neel Suresh Joshi , Changyin Zhou
IPC分类号： G02B9/12
CPC分类号： G02B9/12 , G02B6/06 , G02B13/0035 , G02B13/005 , G02B13/16 , G02B27/0025 , H04N5/2253 , H04N5/2254
摘要： A lens assembly includes a plurality of component lens elements, and a fiber optic face plate having a back surface and a non-planar front surface. The plurality of component lens elements are configured to direct a focused image onto the non-planar front surface of the fiber optic face plate, and the fiber optic face plate is configured to transmit the focused image through the back surface.
摘要翻译：透镜组件包括多个部件透镜元件和具有后表面和非平面前表面的光纤面板。多个组件透镜元件被配置为将聚焦图像引导到光纤面板的非平面前表面上，并且光纤面板被配置为透过背面透射聚焦图像。

2. 发明申请

US20090265685A1 SYMBOLIC FORWARD AND REVERSE DIFFERENTIATION 有权
标题翻译：符号前进和反向差异
公开(公告)号：US20090265685A1
公开(公告)日：2009-10-22
申请号：US12105277
申请日：2008-04-18
申请人： Brian Kevin Guenter
发明人： Brian Kevin Guenter
IPC分类号： G06F17/10 , G06F9/44
CPC分类号： G06F17/10
摘要： The symbolic differentiation technique described herein uses operator overloading and two simple recursive procedures, both the forward and reverse forms of differentiation, to create purely symbolic derivatives. The symbolic derivative expressions can be translated into a program in an arbitrary source language, such as C# or C++, and this program can then be compiled to generate an efficient executable which eliminates much of the interpretive overhead normally encountered in automatic differentiation.
摘要翻译：本文描述的符号分化技术使用运算符重载和两种简单的递归过程，无论是正向还是反向形式的区分，以创建纯象征性的衍生物。符号衍生表达式可以转换为任意源语言（如C＃或C ++）的程序，然后可以对该程序进行编译，以生成高效的可执行文件，从而消除了在自动区分中常常遇到的大量解释开销。

3. 发明授权

US08239822B2 Symbolic forward and reverse differentiation 有权
标题翻译：符号正向和反向分化
公开(公告)号：US08239822B2
公开(公告)日：2012-08-07
申请号：US12105277
申请日：2008-04-18
申请人： Brian Kevin Guenter
发明人： Brian Kevin Guenter
IPC分类号： G06F9/44
CPC分类号： G06F17/10
摘要： The symbolic differentiation technique described herein uses operator overloading and two simple recursive procedures, both the forward and reverse forms of differentiation, to create purely symbolic derivatives. The symbolic derivative expressions can be translated into a program in an arbitrary source language, such as C# or C++, and this program can then be compiled to generate an efficient executable which eliminates much of the interpretive overhead normally encountered in automatic differentiation.
摘要翻译：本文描述的符号分化技术使用运算符重载和两种简单的递归过程，无论是正向还是反向形式的区分，以创建纯象征性的衍生物。符号衍生表达式可以转换为任意源语言（如C＃或C ++）的程序，然后可以对该程序进行编译，以生成高效的可执行文件，从而消除了在自动区分中常常遇到的大量解释开销。

4. 发明授权

US07346225B2 Demosaicing graphical content 失效
标题翻译：拆散图形内容
公开(公告)号：US07346225B2
公开(公告)日：2008-03-18
申请号：US11541114
申请日：2006-09-29
申请人： Brian Kevin Guenter
发明人： Brian Kevin Guenter
IPC分类号： G06K9/40
CPC分类号： G06T3/4015
摘要： Demosaicing of graphical content is provided. In an illustrative implementation a demosaicing engine executing one or more demosaicing algorithms is employed to operate on graphical content to provide better quality and higher resolution images. In operation, the demosaicing engine operates in two modes, a training/learning mode, and a run time mode. During training, training-images are analyzed to generate a codebook of mosaic filter table entries, such that each table entry has an associated list of similar training pixel blocks and their associated filters. During run time, a run-time image is broken into pixel blocks. Each pixel block is then compared with the entries of the codebook to find the closest match filter. The list associated with the entry is then processed using a least-squares algorithm to locate the optimal mosaic filter. As a result, higher resolution is achieved without requiring more pixels.
摘要翻译：提供了图形内容的去马赛克。在说明性实现中，采用执行一个或多个去马赛克算法的去马赛克引擎来操作图形内容以提供更好的质量和更高分辨率的图像。在操作中，去马赛克引擎以两种模式运行：训练/学习模式和运行时模式。在训练期间，分析训练图像以生成马赛克滤波器表条目的码本，使得每个表条目具有相似的训练像素块及其相关联的滤波器的相关联的列表。在运行时间内，运行时映像被分解为像素块。然后将每个像素块与码本的条目进行比较以找到最接近的匹配滤波器。然后使用最小二乘法算法处理与该条目相关联的列表以定位最佳马赛克滤波器。结果，在不需要更多像素的情况下实现更高的分辨率。

5. 发明授权

US07158685B2 Demosaicing graphical content 失效
标题翻译：拆散图形内容
公开(公告)号：US07158685B2
公开(公告)日：2007-01-02
申请号：US10185073
申请日：2002-06-28
申请人： Brian Kevin Guenter
发明人： Brian Kevin Guenter
IPC分类号： G06K9/40
CPC分类号： G06T3/4015
摘要： Demosaicing of graphical content is provided. In an illustrative implementation a demosaicing engine executing one or more demosaicing algorithms is employed to operate on graphical content to provide better quality and higher resolution images. In operation, the demosaicing engine operates in two modes, a training/learning mode, and a run time mode. During training, training-images are analyzed to generate a codebook of mosaic filter table entries, such that each table entry has an associated list of similar training pixel blocks and their associated filters. During run time, a run-time image is broken into pixel blocks. Each pixel block is then compared with the entries of the codebook to find the closest match filter. The list associated with the entry is then processed using a least-squares algorithm to locate the optimal mosaic filter. As a result, higher resolution is achieved without requiring more pixels.
摘要翻译：提供了图形内容的去马赛克。在说明性实现中，采用执行一个或多个去马赛克算法的去马赛克引擎来操作图形内容以提供更好的质量和更高分辨率的图像。在操作中，去马赛克引擎以两种模式运行：训练/学习模式和运行时模式。在训练期间，分析训练图像以生成马赛克滤波器表条目的码本，使得每个表条目具有相似的训练像素块及其相关联的滤波器的相关联的列表。在运行时间内，运行时映像被分解为像素块。然后将每个像素块与码本的条目进行比较以找到最接近的匹配滤波器。然后使用最小二乘法算法处理与该条目相关联的列表以定位最佳马赛克滤波器。结果，在不需要更多像素的情况下实现更高的分辨率。

6. 发明授权

US06298169B1 Residual vector quantization for texture pattern compression and decompression 有权
标题翻译：用于纹理图案压缩和解压缩的残差矢量量化
公开(公告)号：US06298169B1
公开(公告)日：2001-10-02
申请号：US09181228
申请日：1998-10-27
申请人： Brian Kevin Guenter
发明人： Brian Kevin Guenter
IPC分类号： G06K946
CPC分类号： G06T9/008
摘要： A method and apparatus for compressing and decompressing texture patterns using a predefined two or more stage codebook with stored texture block vectors. The method of compressing includes selecting a texture block in the uncompressed texture pattern and determining a distortion value of the selected texture block as compared to a texture block vector stored in the two or more stage codebook. The distortion determination is repeated for a different texture block stored in the two or more stage codebook, until the determined distortion value is the smallest for all texture block vectors stored in the two or more stage codebook. The indices of the stored texture block in the two or more stage codebook are retrieved and stored. The retrieved indices are stored in an index block within an index map, wherein the index blocks correspond to texture blocks in the texture pattern. The two or more stage codebook is generated from a representative texture pattern. Decompressing a compressed texture pattern is performed by accessing and summing the vector components based on the stored index map and multi-stage codebook.
摘要翻译：一种使用具有存储的纹理块向量的预定义的两个或更多个阶段码本对压缩和解压缩纹理图案的方法和装置。压缩方法包括：与存储在两个或多个阶段码本中的纹理块矢量相比，选择未压缩纹理图案中的纹理块并确定所选择的纹理块的失真值。针对存储在两个或多个阶段码本中的不同纹理块重复失真确定，直到所确定的失真值对于存储在两个或多个阶段码本中的所有纹理块向量为最小。检索并存储两个或多个阶段码本中存储的纹理块的索引。检索到的索引存储在索引图中的索引块中，其中索引块对应于纹理图案中的纹理块。从代表性纹理图案生成两个或更多个阶段码本。通过基于所存储的索引图和多级码本访问和求和矢量分量来解压缩压缩纹理图案。

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