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    • 3. 发明授权
    • Systems and methods for collecting fixed pattern noise statistics of image data
    • 用于收集图像数据固定模式噪声统计的系统和方法
    • US08817120B2
    • 2014-08-26
    • US13485124
    • 2012-05-31
    • D. Amnon SilversteinSheng LinSuk Hwan LimGuy CoteHaitao Guo
    • D. Amnon SilversteinSheng LinSuk Hwan LimGuy CoteHaitao Guo
    • H04N5/225
    • G06T5/005H04N5/365
    • The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may collect statistics associated with fixed pattern noise of image data by receiving a first frame of the image data comprising a plurality of pixels. The image processing pipeline may then determine a sum of a first plurality of pixel values that correspond to at least a first portion of the plurality of pixels such that each pixel in at least the first portion of the plurality of pixels is disposed along a first axis within the frame of the image data. After determining the sum of the first plurality of pixel values, the image processing pipeline may store the sum of the first plurality of pixel values in a memory such that the sum of the first plurality of pixel values represent the statistics.
    • 本公开通常涉及用于图像数据处理的系统和方法。 在某些实施例中,图像处理流水线可以通过接收包括多个像素的图像数据的第一帧来收集与图像数据的固定模式噪声相关联的统计信息。 然后,图像处理流水线可以确定对应于多个像素的至少第一部分的第一多个像素值的和,使得至少第一部分中的每个像素沿着第一轴设置 在图像数据的帧内。 在确定第一多个像素值的和之后,图像处理流水线可以将第一多个像素值的和存储在存储器中,使得第一多个像素值的和代表统计。
    • 8. 发明申请
    • Replacement of a Person or Object in an Image
    • 更换图像中的人物或物体
    • US20130094780A1
    • 2013-04-18
    • US13642345
    • 2010-07-26
    • Feng TangSuk Hwan LimHui Chao
    • Feng TangSuk Hwan LimHui Chao
    • G06T7/00
    • G06T7/0022G06T7/97G06T11/60H04N5/272
    • Disclosed herein are a system and a method that use a background model to determine and to segment target content from an image and replace them with different content to provide a composite image. The background model can be generated based on image data representing images of a predetermined area that does not include traversing content. The background model is compared to image data representing a set of captured images of the predetermined area. Based on the comparison, portions of an image that differs from the background model are determined as the traversing content. A target content model is used to determine the target content in the traversing content. The target content determined in the images is replaced with different content to provide a composite image.
    • 本文公开了一种使用背景模型来确定和分割来自图像的目标内容并且用不同内容替换它们以提供合成图像的系统和方法。 可以基于表示不包括遍历内容的预定区域的图像的图像数据来生成背景模型。 将背景模型与表示预定区域的一组捕获图像的图像数据进行比较。 基于该比较,将与背景模型不同的图像的部分确定为遍历内容。 目标内容模型用于确定遍历内容中的目标内容。 将图像中确定的目标内容替换为不同的内容以提供合成图像。
    • 10. 发明申请
    • ORDINAL AND SPATIAL LOCAL FEATURE VECTOR BASED IMAGE REPRESENTATION
    • 基于局部和空间局部特征向量的图像表示
    • US20120093408A1
    • 2012-04-19
    • US12906831
    • 2010-10-18
    • Feng TangSuk Hwan LimNelson Liang An Chang
    • Feng TangSuk Hwan LimNelson Liang An Chang
    • G06K9/34
    • G06K9/4642
    • A local image patch identified in an image is divided into respective sub-patches of respective image forming elements. For each of the respective image forming elements in the local image patch, a respective ordinal rank of the image forming element is determined, and respective contributions of the image forming element to a particular one of the respective sub-patches containing the image forming element and to one or more other ones of the respective sub-patches neighboring the particular sub-patch are ascertained. Each ordinal rank corresponds to a respective dimension of an ordinal rank feature space. For each of the respective sub-patches of the local image patch, a respective histogram of ascertained contributions of the image forming elements in the ordinal rank feature space is built. A respective feature vector representing the local image patch is generated from the respective histograms built for the sub-patches of the local image.
    • 在图像中识别的局部图像块被分成各个图像形成元件的各个子块。 对于局部图像贴片中的各个图像形成元件中的每一个,确定图像形成元件的相应序数等级,并且确定图像形成元件对包含图像形成元件的各个子贴片中的特定一个的各自贡献,以及 确定与特定子贴片相邻的相应子贴片中的一个或多个其他贴片。 每个序数等级对应于序数秩特征空间的相应维度。 对于局部图像贴片的各个子贴片中的每一个,构建了排序特征空间中图像形成元素的确定贡献的相应直方图。 从针对本地图像的子片段构建的各个直方图生成表示本地图像片段的相应特征矢量。