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    • 1. 发明申请
    • Face detecting system and method using symmetric axis
    • 使用对称轴的人脸检测系统和方法
    • US20050135679A1
    • 2005-06-23
    • US10872471
    • 2004-06-22
    • Ho YoonDo KimJung SohJae Lee
    • Ho YoonDo KimJung SohJae Lee
    • G06K9/00G06K9/46
    • G06K9/00241
    • A face detecting system using a symmetric axis, the system including: an image inputting unit for inputting a still image thereto; an image converting unit for reducing the inputted image to a first certain size of image for a real-time process by using a pyramidal resolution reduction way; a scanning unit for scanning the reduced image by applying a second certain size of symmetric mask; a region dividing unit for dividing a region of the scanned mask into a left region and a right region with respect to the symmetric axis; a symmetric-similarity computing unit for computing a symmetric similarity of a local region (Symmetric_measure_local) at the two divided regions and then computing a symmetric similarity of a global region (Symmetric_measure_global) to compute a symmetric similarity of a face region; and a face region extracting unit for extracting a region having a symmetric axis at which the computed symmetric similarity is above a predetermined value, as the face region.
    • 一种使用对称轴的面部检测系统,该系统包括:用于向其输入静止图像的图像输入单元; 图像转换单元,用于通过使用金字塔形分辨率降低方式将输入的图像减少到用于实时处理的第一特定大小的图像; 扫描单元,用于通过应用第二特定大小的对称掩模来扫描缩小图像; 区域划分单元,用于将扫描的掩模的区域相对于对称轴分成左区域和右区域; 对称相似度计算单元,用于计算两个分割区域处的局部区域(Symmetric_measure_local)的对称相似度,然后计算全局区域(Symmetric_measure_global)的对称相似度,以计算面部区域的对称相似度; 以及面部区域提取单元,用于提取具有所计算的对称相似度高于预定值的对称轴的区域作为面部区域。
    • 4. 发明授权
    • Face detecting system and method using symmetric axis
    • 使用对称轴的人脸检测系统和方法
    • US07426287B2
    • 2008-09-16
    • US10872471
    • 2004-06-22
    • Ho Sub YoonDo Hyung KimJung SohJae Yeon Lee
    • Ho Sub YoonDo Hyung KimJung SohJae Yeon Lee
    • G06K9/00
    • G06K9/00241
    • A face detecting system using a symmetric axis includes: an image inputting unit for inputting a still image thereto; an image converting unit for reducing the inputted image to a first certain size of image for a real-time process by using a pyramidal resolution reduction way; a scanning unit for scanning the reduced image by applying a second certain size of symmetric mask; a region dividing unit for dividing a region of the scanned mask into a left region and a right region with respect to the symmetric axis; a symmetric-similarity computing unit for computing a symmetric similarity of a local region at the two divided regions and then computing a symmetric similarity of a global region to compute a symmetric similarity of a face region; and a face region extracting unit for extracting a region having a symmetric axis at which the computed symmetric similarity is above a predetermined value, as the face region.
    • 使用对称轴的脸部检测系统包括:用于向其输入静止图像的图像输入单元; 图像转换单元,用于通过使用金字塔形分辨率降低方式将输入的图像减少到用于实时处理的第一特定大小的图像; 扫描单元,用于通过应用第二特定大小的对称掩模来扫描缩小图像; 区域划分单元,用于将扫描的掩模的区域相对于对称轴分成左区域和右区域; 对称相似度计算单元,用于计算所述两个分割区域处的局部区域的对称相似度,然后计算全局区域的对称相似度,以计算面部区域的对称相似度; 以及面部区域提取单元,用于提取具有所计算的对称相似度高于预定值的对称轴的区域作为面部区域。
    • 5. 发明授权
    • Method and apparatus for estimating camera motion
    • 用于估计摄像机运动的方法和装置
    • US06710844B2
    • 2004-03-23
    • US10029794
    • 2001-12-31
    • Kyu Seo HanByung Tae ChunJae Yeon LeeJung SohHo Sub YoonSe Yoon JeongYoung Lae Bae
    • Kyu Seo HanByung Tae ChunJae Yeon LeeJung SohHo Sub YoonSe Yoon JeongYoung Lae Bae
    • G03B1918
    • H04N5/145
    • A method and an apparatus for estimating a camera motion include a frame picture memory unit for storing a plurality of moving picture frames, a buffer for sequentially extracting the frames and storing them, a block division unit for dividing each of the frames stored in the buffer into a plurality of blocks, a mean picture generation unit for generating horizontal and vertical mean pictures using the blocks, a horizontal and a vertical mean picture memory unit for storing the data of the horizontal and vertical mean pictures, a motion vector extraction unit for extracting motion vectors from the blocks using horizontal and vertical mean picture data, a motion vector memory unit for storing the data of the motion vectors, and a camera motion estimation unit for estimating a camera motion using the motion vector data.
    • 用于估计摄像机运动的方法和装置包括:用于存储多个运动图像帧的帧图像存储单元,用于顺序提取帧并存储它们的缓冲器;块分割单元,用于分割存储在缓冲器中的每个帧 用于使用该块生成水平和垂直平均图像的平均图像生成单元,用于存储水平和垂直平均图像的数据的水平和垂直平均图像存储单元,用于提取的运动矢量提取单元 使用水平和垂直平均图像数据的块的运动矢量,用于存储运动矢量的数据的运动矢量存储单元和用于使用运动矢量数据估计相机运动的相机运动估计单元。
    • 6. 发明授权
    • Image retrieval system and method using image histogram
    • 图像检索系统和使用图像直方图的方法
    • US06621926B1
    • 2003-09-16
    • US09498039
    • 2000-02-04
    • Ho Sub YoonJung SohByung Woo MinYoung Kyu Yang
    • Ho Sub YoonJung SohByung Woo MinYoung Kyu Yang
    • G06K900
    • G06F17/3025
    • An image retrieval system and method using an image histogram for determining central points and dispersion values as well as quantity information of color about respective histogram bins, thereby using these as mapping information for image retrieval. The image retrieval method using an image histogram includes the following steps. A first step of computing an image histogram bin when an image is inputted, and accumulating values of x, y, x2, y2 to compute central points and dispersion values. A second step of normalizing the respective central points and dispersion values through dividing these by size of whole image, and storing these. A third step of generating a value of model to be retrieved by drawing a feature vector when a query image is inputted, and computing the difference between the generated value of model and central points and dispersion values of an image histogram, count, and number of corresponding bins within the data stored in the second step. A fourth step of specifying a similarity value of an image using the values computed in the third step.
    • 一种使用图像直方图确定中心点和色散值的图像检索系统和方法以及关于各个直方图区域的颜色的数量信息,从而将其用作图像检索的映射信息。 使用图像直方图的图像检索方法包括以下步骤。 输入图像时计算图像直方图单元的第一步骤,累积x,y,x2,y2的值以计算中心点和色散值。 通过将它们除以整个图像的大小来归一化各个中心点和色散值的第二步骤,并且存储它们。 第三步骤,通过在输入查询图像时绘制特征向量来生成待检索的模型值,并且计算模型与中心点的生成值和图像直方图的计数和数量之间的差异 在第二步存储的数据内的相应仓。 使用在第三步骤中计算的值来指定图像的相似度值的第四步骤。