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    • 2. 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 recognizing gesture in image processing system
    • 用于识别图像处理系统中的手势的方法和装置
    • US08014567B2
    • 2011-09-06
    • US11778724
    • 2007-07-17
    • Ho Sub YoonSu Young ChiDo Hyung KimHye Jin KimJae Yeon Lee
    • Ho Sub YoonSu Young ChiDo Hyung KimHye Jin KimJae Yeon Lee
    • G06K9/00
    • G06K9/00355G06K9/00228
    • A method and apparatus for recognizing a gesture in an image processing system. In the apparatus, an input unit receives an image obtained by capturing a gesture of a user using a camera. A detector detects a face area in the input image, and detects a hand area in gesture search areas. The gesture search areas being set by dividing the image into predetermined areas with reference to a predetermined location of the detected face area. A controller sets the gesture search areas, determines whether a gesture occurs in the detected hand area, and selects a detection area with respect to the gesture to generate a control command for controlling an image device. A calculator calculates skin-color information and differential-area information for checking a gesture in the detected hand area. Accordingly, a hand area can be accurately detected, and a gesture can be separated from peripheral movement information, so that mal-functioning caused by gesture recognition can be reduced.
    • 一种用于在图像处理系统中识别手势的方法和装置。 在该装置中,输入单元接收通过使用相机拍摄用户的手势而获得的图像。 检测器检测输入图像中的面部区域,并且检测手势搜索区域中的手区域。 参考检测到的面部区域的预定位置,将图像划分成预定区域来设置手势搜索区域。 控制器设置手势搜索区域,确定在检测到的手区域中是否发生手势,并且针对手势选择检测区域,以生成用于控制图像装置的控制命令。 计算器计算皮肤颜色信息和差分区域信息,用于检测检测到的手区域中的手势。 因此,可以精确地检测手区域,并且可以将手势与周边运动信息分离,从而可以减少由手势识别引起的误功能。
    • 8. 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。
    • 10. 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。