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    • 13. 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。
    • 14. 发明授权
    • Method and apparatus for shoulder-line detection and gesture spotting detection
    • 用于肩线检测和手势点检测的方法和装置
    • US08204311B2
    • 2012-06-19
    • US11673696
    • 2007-02-12
    • Hye Jin KimHo Sub YoonDo Hyung KimJae Yeon Lee
    • Hye Jin KimHo Sub YoonDo Hyung KimJae Yeon Lee
    • G06K9/48
    • G06K9/00335
    • A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.
    • 手势点检测方法和装置采用肩线算法。 肩线检测方法识别在远程或短距离的肩线,头部或更高部位发生的GSD呼叫手势,尽管用户不具有固定的姿势。 在该方法中,接收人的图像,并且检测图像中的人的皮肤信息以检测面部区域。 然后,根据输入的图像对人的布颜色信息进行建模,以检测布面积。 基于身体空间区域从图像中定义外部空间,并且基于身体空间和外部空间从图像提取边缘。 然后,基于基于体空间,外部空间和边缘获得的能量函数来获取肩线信息。