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1. 发明申请

US20140002693A1 METHOD AND SYSTEM FOR PERFECT SHOT IMAGING FROM MULTIPLE IMAGES 有权
标题翻译：用于从多个图像完美拍摄成像的方法和系统
公开(公告)号：US20140002693A1
公开(公告)日：2014-01-02
申请号：US13538983
申请日：2012-06-29
申请人： Oscar Nestares , Kalpana Seshadrinathan , Maha El Choubassi , Richard T. Beckwith , Sung Hee Park
发明人： Oscar Nestares , Kalpana Seshadrinathan , Maha El Choubassi , Richard T. Beckwith , Sung Hee Park
IPC分类号： H04N5/262
CPC分类号： H04N5/2356 , H04N5/23222 , H04N5/2351 , H04N5/265
摘要： An image processing apparatus, system, and method to automatically determine a plurality of image acquisition settings for an scene; acquire a set of images of the scene, the set of images including multiple images acquired with a distinct plurality of the determined image acquisition settings; and generate a single image by combining the acquired set of images.
摘要翻译：一种用于自动确定场景的多个图像获取设置的图像处理设备，系统和方法; 获取一组场景的图像，该组图像包括用不同的多个确定的图像获取设置获取的多个图像; 并且通过组合获取的图像集合来生成单个图像。

2. 发明授权

US09148582B2 Method and system for perfect shot imaging from multiple images 有权
标题翻译：从多幅图像完美拍摄成像的方法和系统
公开(公告)号：US09148582B2
公开(公告)日：2015-09-29
申请号：US13538983
申请日：2012-06-29
申请人： Oscar Nestares , Kalpana Seshadrinathan , Maha El Choubassi , Richard T. Beckwith , Sung Hee Park
发明人： Oscar Nestares , Kalpana Seshadrinathan , Maha El Choubassi , Richard T. Beckwith , Sung Hee Park
IPC分类号： H04N5/235 , H04N5/265 , H04N5/232
CPC分类号： H04N5/2356 , H04N5/23222 , H04N5/2351 , H04N5/265
摘要： An image processing apparatus, system, and method to automatically determine a plurality of image acquisition settings for an scene; acquire a set of images of the scene, the set of images including multiple images acquired with a distinct plurality of the determined image acquisition settings; and generate a single image by combining the acquired set of images.
摘要翻译：一种用于自动确定场景的多个图像获取设置的图像处理设备，系统和方法; 获取一组场景的图像，该组图像包括用不同的多个确定的图像获取设置获取的多个图像; 并且通过组合获取的图像集合来生成单个图像。

3. 发明授权

US09313420B2 Intelligent computational imaging system 有权
标题翻译：智能计算成像系统
公开(公告)号：US09313420B2
公开(公告)日：2016-04-12
申请号：US13976158
申请日：2012-01-18
申请人： Kalpana Seshadrinathan , Sung Hee Park , Oscar Nestares
发明人： Kalpana Seshadrinathan , Sung Hee Park , Oscar Nestares
IPC分类号： H04N5/265 , H04N5/235 , H04N5/355 , H04N9/04
CPC分类号： H04N5/265 , H04N5/2353 , H04N5/2355 , H04N5/35581 , H04N9/045
摘要： In some embodiments, an electronic device, comprises an image capture device and logic to receive a first set of input frames from an image capture device, analyze the first set of input frames to determine whether multi-image processing is to be implemented, and in response to a determination that multi-image processing is to be implemented, determine a number of image frames required to capture a dynamic range of a scene, capture at least the number of image frames, align the number of images and merge the number of images into a merged image. Other embodiments may be described.
摘要翻译：在一些实施例中，电子设备包括图像捕获设备和从图像捕获设备接收第一组输入帧的逻辑，分析第一组输入帧以确定是否要实现多图像处理，并且在响应于要实现多图像处理的确定，确定捕获场景的动态范围所需的多个图像帧，至少捕获图像帧的数量，对齐图像的数量并合并图像的数量成为合并形象。可以描述其他实施例。

4. 发明申请

US20140240549A1 INTELLIGENT COMPUTATIONAL IMAGING SYSTEM 有权
标题翻译：智能计算图像系统
公开(公告)号：US20140240549A1
公开(公告)日：2014-08-28
申请号：US13976158
申请日：2012-01-18
申请人： Kalpana Seshadrinathan , Sung Lee Park , Oscar Nestares
发明人： Kalpana Seshadrinathan , Sung Lee Park , Oscar Nestares
IPC分类号： H04N5/265
CPC分类号： H04N5/265 , H04N5/2353 , H04N5/2355 , H04N5/35581 , H04N9/045
摘要： In some embodiments, an electronic device, comprises an image capture device and logic to receive a first set of input frames from an image capture device, analyze the first set of input frames to determine whether multi-image processing is to be implemented, and in response to a determination that multi-image processing is to be implemented, determine a number of image frames required to capture a dynamic range of a scene, capture at least the number of image frames, align the number of images and merge the number of images into a merged image. Other embodiments may be described.
摘要翻译：在一些实施例中，电子设备包括图像捕获设备和从图像捕获设备接收第一组输入帧的逻辑，分析第一组输入帧以确定是否要实现多图像处理，并且在响应于要实现多图像处理的确定，确定捕获场景的动态范围所需的多个图像帧，至少捕获图像帧的数量，对齐图像的数量并合并图像的数量成为合并形象。可以描述其他实施例。

5. 发明申请

US20170061624A1 POINT-TO-POINT DISTANCE MEASUREMENTS IN 3D CAMERA IMAGES 有权
标题翻译： 3D摄像机图像中的点对点距离测量
公开(公告)号：US20170061624A1
公开(公告)日：2017-03-02
申请号：US14841609
申请日：2015-08-31
申请人： Kalpana Seshadrinathan , Oscar Nestares , Ali Mehdihzadeh , Max T. Stein , Yi Wu , James Granger
发明人： Kalpana Seshadrinathan , Oscar Nestares , Ali Mehdihzadeh , Max T. Stein , Yi Wu , James Granger
IPC分类号： G06T7/00 , H04N13/02 , H04N5/232 , G01B11/14 , H04N5/247
CPC分类号： G06T7/62 , G01B11/14 , G06T2207/10012 , G06T2207/10028 , H04N5/247
摘要： Systems and methods for determining point-to-point distances from 3D image data. In some embodiments, two measure points, for example specified by a user, represent endpoints on an object of interest within an image frame. Assuming all points lying between these endpoints also belong to the object of interest, additional 3D data associated with points that lie along a measurement line defined by the measure points may be leveraged to provide a robust distance measurement. In some embodiments, total least squares fitting is performed, for example through Robust Principal Component Analysis (RPCA) to identify linear structures within the set of the 3D coordinates on the measurement line. In some exemplary embodiments, the minimum covariance determinant (MCD) estimator of the covariance matrix of the data is computed for a highly robust estimate of multivariate location and multivariate scatter.
摘要翻译：用于确定与3D图像数据的点对点距离的系统和方法。在一些实施例中，例如由用户指定的两个测量点表示图像帧内感兴趣对象上的端点。假设位于这些端点之间的所有点也属于感兴趣的对象，可以利用与由测量点定义的测量线位于的点相关联的附加3D数据来提供鲁棒的距离测量。在一些实施例中，例如通过鲁棒主成分分析（RPCA）来执行总体最小二乘拟合，以识别测量线上的3D坐标组内的线性结构。在一些示例性实施例中，针对多变量位置和多变量分散的高度鲁棒的估计来计算数据的协方差矩阵的最小协方差行列式（MCD）估计器。

6. 发明授权

US09064313B2 Adaptive tone map to a region of interest to yield a low dynamic range image 有权
标题翻译：自适应色调映射到感兴趣的区域以产生低动态范围图像
公开(公告)号：US09064313B2
公开(公告)日：2015-06-23
申请号：US13631343
申请日：2012-09-28
申请人： Kalpana Seshadrinathan , Oscar Nestares
发明人： Kalpana Seshadrinathan , Oscar Nestares
IPC分类号： G09G3/36 , G06T5/00
CPC分类号： G06T5/007 , G06T2207/20076 , G06T2207/20208
摘要： Technologies may provide for yielding a low dynamic range image. A logic architecture may be implemented to perform a global tone map operation on a high dynamic range image to yield a preview image. The logic architecture may also be implemented to perform a local tone map operation on a region of interest of a preview image to yield a low dynamic range image. Additionally, the logic architecture may be implemented to provide an image that includes a predetermined amount of image pixels that are not saturated. In addition, the logic architecture may be implemented to employ image view data to yield a low dynamic range image. Moreover, the logic architecture may be implemented to convert the region of interest into a region that includes the foveal region of a user. In one example, the tone map operation is performed entirely automatically and interactively.
摘要翻译：技术可以提供产生低动态范围图像。可以实现逻辑架构以在高动态范围图像上执行全局色调映射操作以产生预览图像。还可以实现逻辑架构以在预览图像的感兴趣区域上执行本地色调映射操作以产生低动态范围图像。另外，可以实现逻辑架构以提供包括未饱和的预定量的图像像素的图像。此外，可以实现逻辑架构以采用图像视图数据来产生低动态范围图像。此外，可以实现逻辑架构以将感兴趣区域转换为包括用户的中心凹区域的区域。在一个示例中，色调映射操作被完全自动且交互地执行。

7. 发明申请

US20140092012A1 ADAPTIVE TONE MAP TO A REGION OF INTEREST TO YIELD A LOW DYNAMIC RANGE IMAGE 有权
标题翻译：自适应色调映射到一个有利于低动态范围图像的区域
公开(公告)号：US20140092012A1
公开(公告)日：2014-04-03
申请号：US13631343
申请日：2012-09-28
申请人： Kalpana Seshadrinathan , Oscar Nestares
发明人： Kalpana Seshadrinathan , Oscar Nestares
IPC分类号： G06F3/033 , G09G5/10
CPC分类号： G06T5/007 , G06T2207/20076 , G06T2207/20208
摘要： Technologies may provide for yielding a low dynamic range image. A logic architecture may be implemented to perform a global tone map operation on a high dynamic range image to yield a preview image. The logic architecture may also be implemented to perform a local tone map operation on a region of interest of a preview image to yield a low dynamic range image. Additionally, the logic architecture may be implemented to provide an image that includes a predetermined amount of image pixels that are not saturated. In addition, the logic architecture may be implemented to employ image view data to yield a low dynamic range image. Moreover, the logic architecture may be implemented to convert the region of interest into a region that includes the foveal region of a user. In one example, the tone map operation is performed entirely automatically and interactively.
摘要翻译：技术可以提供产生低动态范围图像。可以实现逻辑架构以在高动态范围图像上执行全局色调映射操作以产生预览图像。还可以实现逻辑架构以在预览图像的感兴趣区域上执行本地色调映射操作以产生低动态范围图像。另外，可以实现逻辑架构以提供包括未饱和的预定量的图像像素的图像。此外，可以实现逻辑架构以采用图像视图数据来产生低动态范围图像。此外，可以实现逻辑架构以将感兴趣区域转换为包括用户的中心凹区域的区域。在一个示例中，色调映射操作被完全自动且交互地执行。

8. 发明授权

US08531504B2 System and method for 3D video stabilization by fusing orientation sensor readings and image alignment estimates 有权
标题翻译：通过定向传感器读数和图像对准估计来定义3D视频稳定的系统和方法
公开(公告)号：US08531504B2
公开(公告)日：2013-09-10
申请号：US12888712
申请日：2010-09-23
申请人： Oscar Nestares , Yoram Gat , Horst W. Haussecker , Igor V. Kozintsev
发明人： Oscar Nestares , Yoram Gat , Horst W. Haussecker , Igor V. Kozintsev
IPC分类号： H04N13/02 , H04N5/228 , G06K9/46 , G06K9/66 , G06K9/40
CPC分类号： H04N5/23254 , H04N5/23258 , H04N5/23267
摘要： Methods and systems to for generating high accuracy estimates of the 3D orientation of a camera within a global frame of reference. Orientation estimates may be produced from an image-based alignment method. Other orientation estimates may be taken from a camera-mounted orientation sensor. The alignment-derived estimates may be input to a high pass filter. The orientation estimates from the orientation sensor may be processed and input to a low pass filter. The outputs of the high pass and low pass filters are fused, producing a stabilized video sequence.
摘要翻译：用于在全球参考系中产生相机的3D取向的高精度估计的方法和系统。取向估计可以从基于图像的对准方法产生。可以从安装摄像机的方向传感器获取其他方位估计。对准导出的估计可以被输入到高通滤波器。来自方向传感器的方向估计可以被处理并输入到低通滤波器。高通滤波器和低通滤波器的输出被融合，产生稳定的视频序列。

9. 发明授权

US08139894B2 Automatic dominant orientation estimation in text images based on steerable filters 有权
标题翻译：基于可转向滤波器的文本图像中的自动主导方向估计
公开(公告)号：US08139894B2
公开(公告)日：2012-03-20
申请号：US11961648
申请日：2007-12-20
申请人： Oscar Nestares
发明人： Oscar Nestares
IPC分类号： G06K9/36
CPC分类号： G06K9/3208
摘要： Briefly, in accordance with one or more embodiments, an image processing system is capable of receiving an image containing text, applying optical character recognition to the image, and then audibly reproducing the text via text-to-speech synthesis. Prior to optical character recognition, an orientation corrector is capable of detecting an amount of angular rotation of the text in the image with respect to horizontal, and then rotating the image by an appropriate amount to sufficiently align the text with respect to horizontal for optimal optical character recognition. The detection may be performed using steerable filters to provide an energy versus orientation curve of the image data. A maximum of the energy curve may indicate the amount of angular rotation that may be corrected by the orientation corrector.
摘要翻译：简而言之，根据一个或多个实施例，图像处理系统能够接收包含文本的图像，对图像应用光学字符识别，然后通过文本到语音合成可听地再现文本。在光学字符识别之前，取向校正器能够检测图像中的文本相对于水平的角度旋转量，然后旋转图像适当的量以使文本相对于水平方向充分对齐以获得最佳光学字符识别。可以使用可转向滤波器来执行检测，以提供图像数据的能量对方向曲线。能量曲线的最大值可以指示可由取向校正器校正的角旋转量。

10. 发明授权

US07447382B2 Computing a higher resolution image from multiple lower resolution images using model-based, robust Bayesian estimation 有权
标题翻译：使用基于模型的鲁棒贝叶斯估计计算来自多个较低分辨率图像的较高分辨率图像
公开(公告)号：US07447382B2
公开(公告)日：2008-11-04
申请号：US10882723
申请日：2004-06-30
申请人： Oscar Nestares , Horst W. Haussecker , Scott M. Ettinger
发明人： Oscar Nestares , Horst W. Haussecker , Scott M. Ettinger
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. Other embodiments are also described and claimed.
摘要翻译：使用贝叶斯估计图像重建方法计算场景给定多个观察到的较低分辨率（LR）图像的场景的更高分辨率（HR）图像。该方法产生基于似然概率函数的结果HR图像，其实现了在存在噪声的情况下形成LR图像的模型。该噪声由概率非高斯鲁棒函数建模。还描述和要求保护其他实施例。

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