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    • 51. 发明申请
    • System and method for enhancement of images in a selected region of interest of a captured image
    • 用于增强拍摄图像的所选择的感兴趣区域中的图像的系统和方法
    • US20110044552A1
    • 2011-02-24
    • US12583625
    • 2009-08-24
    • Jonathan YenTony Quach
    • Jonathan YenTony Quach
    • G06K9/40
    • H04N1/3872
    • The subject application is directed to a system and method for image enhancement. Image data is received that contains a rectangular array of pixels encoded in a multidimensional color space. The image data is scaled to a scaled rectangular array having a smaller number of pixels such that both a selected rectangular dimension and a complimentary dimension are scaled to preselected dimension values. Region-of-interest data is received for an isolated region in the image data. A mask matrix, having a rectangular array of elements corresponding to pixels of the scaled rectangular array, is stored. The mask matrix, populated using region-of-interest data, has first and second values associated with each entry, with the first value, but not the second value, corresponding to a region of interest in the scaled rectangular array. Received image data is adjusted according to image data values based on pixel values associated with first value elements.
    • 本申请涉及用于图像增强的系统和方法。 接收包含以多维颜色空间编码的矩形矩阵阵列的图像数据。 图像数据被缩放到具有较小数量的像素的缩放的矩形阵列,使得所选择的矩形尺寸和互补尺寸都被缩放到预选尺寸值。 为图像数据中的隔离区域接收感兴趣区域数据。 存储具有与缩放的矩形阵列的像素对应的元素的矩形阵列的掩模矩阵。 使用感兴趣区域数据填充的掩码矩阵具有与每个条目相关联的第一和第二值,其具有对应于按比例缩放的矩形阵列中的感兴趣区域的第一值而不是第二值。 基于与第一值元素相关联的像素值的图像数据值来调整接收到的图像数据。
    • 53. 发明申请
    • System and method for facial tone indexing
    • 面部音调索引的系统和方法
    • US20100254597A1
    • 2010-10-07
    • US12384621
    • 2009-04-07
    • Jonathan YenBradley WinslowHarold BollRobert Poe
    • Jonathan YenBradley WinslowHarold BollRobert Poe
    • G06K9/34
    • G06T7/90G06T7/11G06T7/136
    • The subject application is directed to a system and method for facial tone indexing. Image data comprised of a plurality of pixels encoded in at least a three dimensional component space is received and at least one candidate facial region is isolated in the received image data. The received image data is translated into a Lightness, Chroma, and Hue color space. Histogram data corresponding to the Hue of pixels is calculated in the at least one candidate facial region by discarding the low-chroma pixels first. The Hue index on which the Hue histogram peaks is identified as the Facial Tone Index. The Facial Tone Index indicates where the Hue concentration is and therefore is a single number representing the flesh tone of a face.
    • 主题应用涉及用于面部音调索引的系统和方法。 接收由在至少三维分量空间中编码的多个像素组成的图像数据,并且至少一个候选面部区域被隔离在接收到的图像数据中。 所接收的图像数据被转换为亮度,色度和色调颜色空间。 通过首先丢弃低色度像素,在至少一个候选面部区域中计算与像素色相对应的直方图数据。 色调直方图峰值的色相指数被识别为面部色调指数。 面部指数指示色调浓度在何处,因此是表示脸部肉色的单一数字。
    • 54. 发明授权
    • Using camera metadata to classify images into scene type classes
    • 使用相机元数据将图像分类为场景类型类
    • US07668369B2
    • 2010-02-23
    • US11411481
    • 2006-04-26
    • Jonathan YenPeng WuDaniel Tretter
    • Jonathan YenPeng WuDaniel Tretter
    • G06K9/00G06K9/62
    • G06K9/00664G06K2209/27
    • In one aspect, a metadata-based classification result is obtained based on metadata associated with an image. A histogram-based classification result is determined based on a histogram of intensity values derived from the image. The image is classified into a scene type class based on the metadata-based classification result and the histogram-based classification result. In another aspect, a first condition is applied on a first one of metadata associated with an image corresponding to a measure of amount of light received in capturing the image to obtain a first metadata-based classification result. A second condition is applied on a second one of the metadata corresponding to a measure of brightness of the image to obtain a second metadata-based classification result. The image is classified into a scene type class based on the first and second metadata-based classification results.
    • 在一个方面,基于元数据的分类结果是基于与图像相关联的元数据获得的。 基于直方图的分类结果基于从图像导出的强度值的直方图来确定。 基于基于元数据的分类结果和基于直方图的分类结果将图像分类为场景类型类。 在另一方面,第一条件被应用于与对应于在捕获图像中接收的光量的度量相对应的图像的第一个元数据,以获得第一基于元数据的分类结果。 第二条件被应用于对应于图像的亮度的度量的第二个元数据,以获得第二基于元数据的分类结果。 基于第一和第二基于元数据的分类结果将图像分类为场景类型类别。
    • 57. 发明授权
    • Extracting graphical bar codes from an input image
    • 从输入图像中提取图形条形码
    • US07305131B2
    • 2007-12-04
    • US10262434
    • 2002-10-01
    • Jonathan YenHuitao Luo
    • Jonathan YenHuitao Luo
    • G06K9/68G06K5/04
    • G06K7/1443G06K7/14
    • Systems and methods for extracting a graphical bar code (i.e., an image that contains inconspicuous graphical modulations that encode embedded information) from an input image are described. In one aspect, estimates of position coordinates for a detected graphical bar code candidate are computed. An objective function is optimized based on the computed position coordinates to obtain final position coordinate estimates for the graphical bar code candidate. Non-graphical bar code regions are trimmed from the input image based on the final position coordinates for the graphical bar code candidate to produce a trimmed graphical bar code candidate for decoding.
    • 描述了用于从输入图像提取图形条形码(即,包含编码嵌入信息的不显眼图形调制的图像)的系统和方法。 在一个方面,计算检测到的图形条形码候选的位置坐标的估计。 基于所计算的位置坐标来优化目标函数,以获得图形条形码候选者的最终位置坐标估计。 基于用于图形条形码候选的最终位置坐标来从输入图像修剪非图形条形码区域,以产生用于解码的修剪图形条形码候选。