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11. 发明授权

US08913798B2 System for recognizing disguised face using gabor feature and SVM classifier and method thereof 有权
标题翻译：使用gabor特征和SVM分类器识别伪装脸的系统及其方法
公开(公告)号：US08913798B2
公开(公告)日：2014-12-16
申请号：US13565022
申请日：2012-08-02
申请人： Kye Kyung Kim , Jae Yeon Lee , Ho Sub Yoon , Jae Hong Kim , Joo Chan Sohn
发明人： Kye Kyung Kim , Jae Yeon Lee , Ho Sub Yoon , Jae Hong Kim , Joo Chan Sohn
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K9/00288 , G06K9/00899
摘要： Disclosed are a system and a method for recognizing a disguised face using a Gabor feature and a support vector machine (SVM) classifier according to the present invention.The system for recognizing a disguised face includes: a graph generation means to generate a single standard face graph from a plurality of facial image samples; a support vector machine (SVM) learning means to determine an optimal classification plane for discriminating a disguised face from the plurality of facial image samples and disguised facial image samples; and a facial recognition means to determine whether an input facial image is disguised using the standard face graph and the optimal classification plane when the facial image to be recognized is input.
摘要翻译：公开了根据本发明的使用Gabor特征和支持向量机（SVM）分类器识别伪装脸部的系统和方法。用于识别伪装脸部的系统包括：图形生成装置，用于从多个面部图像样本生成单个标准面部图形; 支持向量机（SVM）学习装置，用于确定用于从多个面部图像样本和伪装的面部图像样本中鉴别伪装的脸部的最佳分类平面; 以及面部识别装置，用于当要输入要识别的面部图像时，使用标准面图和最佳分类平面来确定输入面部图像是否伪装。

12. 发明授权

US08705814B2 Apparatus and method for detecting upper body 有权
标题翻译：检测上身的装置及方法
公开(公告)号：US08705814B2
公开(公告)日：2014-04-22
申请号：US13332879
申请日：2011-12-21
申请人： Woo Han Yun , Do Hyung Kim , Jae Yeon Lee , Kyu Dae Ban , Dae Ha Lee , Mun Sung Han , Ho Sub Yoon , Su Young Chi , Yun Koo Chung , Joo Chan Sohn , Hye Jin Kim , Young Woo Yoon , Jae Hong Kim , Jae Il Cho
发明人： Woo Han Yun , Do Hyung Kim , Jae Yeon Lee , Kyu Dae Ban , Dae Ha Lee , Mun Sung Han , Ho Sub Yoon , Su Young Chi , Yun Koo Chung , Joo Chan Sohn , Hye Jin Kim , Young Woo Yoon , Jae Hong Kim , Jae Il Cho
IPC分类号： G06K9/00
CPC分类号： G06K9/00362
摘要： Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.
摘要翻译：公开了一种检测上身的方法。该方法包括从目标图像中检测包括人脸的形状和肩部线的形状的欧米茄候选区域，将目标图像切割成包括欧米茄候选区域的上身候选区域，从上层检测人脸根据检测人脸的结果来判断人的上半身是否包含在目标图像中。

13. 发明授权

US08014567B2 Method and apparatus for recognizing gesture in image processing system 有权
标题翻译：用于识别图像处理系统中的手势的方法和装置
公开(公告)号：US08014567B2
公开(公告)日：2011-09-06
申请号：US11778724
申请日：2007-07-17
申请人： Ho Sub Yoon , Su Young Chi , Do Hyung Kim , Hye Jin Kim , Jae Yeon Lee
发明人： Ho Sub Yoon , Su Young Chi , Do Hyung Kim , Hye Jin Kim , Jae Yeon Lee
IPC分类号： G06K9/00
CPC分类号： G06K9/00355 , G06K9/00228
摘要： 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.
摘要翻译：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。

14. 发明授权

US07426287B2 Face detecting system and method using symmetric axis 有权
标题翻译：使用对称轴的人脸检测系统和方法
公开(公告)号：US07426287B2
公开(公告)日：2008-09-16
申请号：US10872471
申请日：2004-06-22
申请人： Ho Sub Yoon , Do Hyung Kim , Jung Soh , Jae Yeon Lee
发明人： Ho Sub Yoon , Do Hyung Kim , Jung Soh , Jae Yeon Lee
IPC分类号： G06K9/00
CPC分类号： G06K9/00241
摘要： 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.
摘要翻译：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。

15. 发明授权

US06621926B1 Image retrieval system and method using image histogram 失效
标题翻译：图像检索系统和使用图像直方图的方法
公开(公告)号：US06621926B1
公开(公告)日：2003-09-16
申请号：US09498039
申请日：2000-02-04
申请人： Ho Sub Yoon , Jung Soh , Byung Woo Min , Young Kyu Yang
发明人： Ho Sub Yoon , Jung Soh , Byung Woo Min , Young Kyu Yang
IPC分类号： G06K900
CPC分类号： G06F17/3025
摘要： 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.
摘要翻译：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。

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