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    • 6. 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。
    • 9. 发明授权
    • User authentication system and method thereof
    • 用户认证系统及其方法
    • US07634113B2
    • 2009-12-15
    • US11291607
    • 2005-11-30
    • Do-Hyung KimJae-Yeon LeeSu-Young ChiHo-Sub YoonKye-Kyung KimSoo-Hyun ChoHye-Jin KimYoung-Jo Cho
    • Do-Hyung KimJae-Yeon LeeSu-Young ChiHo-Sub YoonKye-Kyung KimSoo-Hyun ChoHye-Jin KimYoung-Jo Cho
    • G06K9/00G06K5/00G05B19/00G10L21/00
    • G06K9/00362
    • A user recognizing system and method is provided. According to the user recognizing system and method, user ID and predetermined user feature information are stored, first and second user feature information are extracted from the user image data transmitted from the image input unit, and first and second probabilities that the extracted first and second user feature information determine the predetermined user are respectively generated based on the information stored at the user information database, the first user feature information being absolutely unique biometric information and the second user feature information being unique semibiometric information under a predetermined condition, and ID of the input image is finally determined by combining the first probability and the second probability. According to the user recognizing system and method, a user identity can be authenticated even when the user freely moves.
    • 提供了一种用户识别系统和方法。 根据用户识别系统和方法,存储用户ID和预定用户特征信息,从从图像输入单元发送的用户图像数据中提取第一和第二用户特征信息,以及提取的第一和第二概率的第一和第二概率 基于存储在用户信息数据库中的信息分别生成预定用户的用户特征信息,第一用户特征信息是绝对唯一的生物体信息,第二用户特征信息是预定条件下的唯一半身测量信息,以及ID 最终通过组合第一概率和第二概率来确定输入图像。 根据用户识别系统和方法,即使用户自由移动,也可以认证用户身份。