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    • 1. 发明授权
    • Method for magnifying image by interpolation based on edge and corner
    • 基于边和边的插值放大图像的方法
    • US07492969B2
    • 2009-02-17
    • US11305644
    • 2005-12-15
    • Hong-Seok KimChang-Joon ParkSung-Eun KimIn-Ho LeeHyun-Bin Kim
    • Hong-Seok KimChang-Joon ParkSung-Eun KimIn-Ho LeeHyun-Bin Kim
    • G06K9/32G06K9/40
    • G06T3/403
    • Provided is a method for magnifying an image by interpolation. The method including: a) setting m×m local windows and calculating a direction of each m×m local window; b) when a linear direction exists in an m×m local window, considering an edge exists; c) when a linear direction does not exist in the m×m local window, dividing the m×m local window into m/2×m/2 sub windows and calculating directions of the m/2×m/2 sub windows; d) when the directions of the m/2×m/2 sub windows exists toward the center of the m×m local window, considering a corner exists in the m×m local window; and e) selecting pixels located in a virtual line that goes along in the linear direction or in the directions to calculate a new pixel value by using the pixels.
    • 提供了一种通过插值来放大图像的方法。 该方法包括:a)设置mxm局部窗口并计算每个mxm局部窗口的方向; b)当在mxm局部窗口中存在线性方向时,考虑到边缘存在; c)当mxm局部窗口中不存在线性方向时,将mxm本地窗口划分为m / 2xm / 2子窗口并计算m / 2xm / 2子窗口的方向; d)当m / 2xm / 2子窗口的方向存在于mxm局部窗口的中心时,考虑到mxm局部窗口中存在一个角; 以及e)选择位于沿着线性方向或方向的虚拟线中的像素,以通过使用像素来计算新的像素值。
    • 3. 发明授权
    • Marker-free motion capture apparatus and method for correcting tracking error
    • 无标记运动捕捉装置和纠正跟踪误差的方法
    • US07580546B2
    • 2009-08-25
    • US11283191
    • 2005-11-18
    • Sung-Eun KimChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • Sung-Eun KimChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • G06K9/00
    • G06T7/277G06T7/246G06T2207/30241
    • A marker-free motion capture apparatus having a function of correcting a tracking error and a method thereof are disclosed. The apparatus includes: a grouping unit for grouping feature candidates located within a threshold distance on a three-dimensional space at a previous time; a feature point selecting unit for generating a first curve connecting a predetermined number of feature points, and selecting a feature candidate closest to the first curve as a feature point of a previous time; a feature point correcting unit for generating a second curve connecting a predetermined number of feature points including the feature point of a previous time, and correcting a feature point of a current time calculated based on a Kalman filtering scheme using the second curve; and a controlling unit for calculating a location of a feature point of each time using a Kalman filtering scheme and generally controlling the marker-free motion capture apparatus.
    • 公开了一种具有校正跟踪误差的功能的无标记运动捕获装置及其方法。 该装置包括:分组单元,用于对位于先前时间的三维空间上的阈值距离内的特征候选进行分组; 特征点选择单元,用于生成连接预定数量的特征点的第一曲线,以及选择最靠近第一曲线的特征候选作为先前时间的特征点; 特征点校正单元,用于生成连接包括先前时间的特征点的预定数量的特征点的第二曲线,并且使用第二曲线校正基于卡尔曼滤波方案计算的当前时间的特征点; 以及控制单元,用于使用卡尔曼滤波方案来计算每次特征点的位置,并且通常控制无标记运动捕获装置。
    • 7. 发明申请
    • Apparatus for Recognizing Three-Dimensional Motion Using Linear Discriminant Analysis
    • 使用线性判别分析识别三维运动的装置
    • US20080285807A1
    • 2008-11-20
    • US12091625
    • 2006-12-05
    • Jae-Ho LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • Jae-Ho LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • G06T1/00
    • G06T7/20
    • Provided is an apparatus and method for recognizing a three-dimensional (3D) motion using Linear Discriminant Analysis (LDA). The apparatus includes: a 3D motion capturing means for creating motion data for every motion; a motion recognition learning means for analyzing the created motion data, creating a linear discrimination feature component for discriminating corresponding motion data, extracting/storing a reference motion feature, and recognizing each of the extracted/stored reference motion features as a corresponding motion; and a motion recognition operating means for extracting a motion feature from motion data, searching a reference motion feature corresponding to the extracted input motion feature, and recognizing a motion corresponding to the searched reference motion feature as a 3D motion.
    • 提供了一种使用线性判别分析(LDA)来识别三维(3D)运动的装置和方法。 该装置包括:3D运动捕捉装置,用于创建每个运动的运动数据; 运动识别学习装置,用于分析所创建的运动数据,创建用于识别对应运动数据的线性鉴别特征分量,提取/存储参考运动特征,以及将所提取/存储的参考运动特征中的每一个作为相应的运动; 以及运动识别操作装置,用于从运动数据中提取运动特征,搜索与所提取的输入运动特征相对应的参考运动特征,以及将与所搜索的参考运动特征相对应的运动识别为3D运动。
    • 8. 发明授权
    • Method for estimating three-dimensional position of human joint using sphere projecting technique
    • 使用球体投射技术估计人体关节三维位置的方法
    • US07869646B2
    • 2011-01-11
    • US11605612
    • 2006-11-29
    • Chang-Joon ParkHong-Seok KimIn-Ho LeeJae-Kwang LeeHyun-Bin Kim
    • Chang-Joon ParkHong-Seok KimIn-Ho LeeJae-Kwang LeeHyun-Bin Kim
    • G06K9/00
    • G06F3/011A63F2300/1093G06F3/0304G06T7/74G06T2207/30196
    • A method for estimating three-dimensional positions of human joints includes the steps of: a) marker-free motion capturing a moving figure for obtaining a multiview 2D image of the moving figure, and extracting a 2D feature point corresponding to a bodily end-effector; b) three-dimensionally matching the 2D feature point corresponding to the bodily end-effector, and recovering the 3D coordinates of the bodily end-effector; c) generating a 3D blob of the bodily end-effector, generating a virtual sphere with a radius that is a distance from a center of the 3D blob to a joint, and projecting the virtual sphere onto the obtained multiview 2D image of the moving figure; and d) detecting a coinciding point of a surface of the projected virtual sphere and the multiview 2D image of the moving figure, and estimating a 3D position corresponding to the coinciding point as a 3D position of the joint.
    • 一种用于估计人体关节的三维位置的方法包括以下步骤:a)无标记运动,捕捉运动图形以获得运动图形的多视图2D图像,以及提取对应于身体末端执行器的2D特征点 ; b)三维匹配对应于身体末端执行器的2D特征点,以及恢复身体末端执行器的3D坐标; c)产生身体末端执行器的3D斑块,产生具有距离3D斑点的中心到关节的距离的半径的虚拟球体,以及将虚拟球体投影到获得的运动图形的多视图2D图像上 ; 以及d)检测所述投影虚拟球体的表面和所述运动图形的多视图2D图像的一致点,并且将与所述重合点对应的3D位置估计为所述关节的3D位置。
    • 9. 发明申请
    • Method for reconstructing three-dimensional structure using silhouette information in two-dimensional image
    • 使用二维图像中的轮廓信息重建三维结构的方法
    • US20070133865A1
    • 2007-06-14
    • US11511732
    • 2006-08-29
    • Jae-Kwang LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • Jae-Kwang LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • G06K9/00
    • G06K9/20G06K2209/40
    • A method for reconstructing a three-dimensional structure using silhouette information on a two-dimensional plane is provided. The method includes: obtaining silhouette images; creating a cube on a three-dimensional space using the silhouette images; calculating vertex coordinates on a two-dimensional image plane by projecting eight vertices of the three-dimensional cube on a two-dimensional image plane of a first camera; dividing into multiple inner voxels by dividing sides formed by the eight vertices by a divider; dividing into a predetermined number of regions by dividing sides connecting the coordinates by a predetermined divider; assigning indices by matching cubes of the three-dimensional cube to square regions on the two-dimensional image plane in one to one manner; storing indices of regions where the square regions meets with a first silhouette image; and reconstructing three-dimensional structure by finding common indices through repeatedly performing the steps using other silhouette images.
    • 提供了使用二维平面上的轮廓信息来重建三维结构的方法。 该方法包括:获得剪影图像; 使用剪影图像在三维空间上创建立方体; 通过在第一相机的二维图像平面上投影三维立方体的八个顶点来计算二维图像平面上的顶点坐标; 通过将由八个顶点形成的边划分成分隔线,将其划分成多个内部体素; 通过将连接该坐标的一侧划分预定的分割器来划分为预定数量的区域; 通过将三维立方体的立方体与二维图像平面上的方形区域一一对应地分配索引; 存储所述正方形区域与第一轮廓图像相交的区域的索引; 并通过重复执行使用其他轮廓图像的步骤来找到共同的索引来重建三维结构。
    • 10. 发明授权
    • Method for reconstructing three-dimensional structure using silhouette information in two-dimensional image
    • 使用二维图像中的轮廓信息重建三维结构的方法
    • US07760932B2
    • 2010-07-20
    • US11511732
    • 2006-08-29
    • Jae-Kwang LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • Jae-Kwang LeeChang-Joon ParkIn-Ho LeeHyun-Bin Kim
    • G06K9/00G06T17/00
    • G06K9/20G06K2209/40
    • A method for reconstructing a three-dimensional structure using silhouette information on a two-dimensional plane is provided. The method includes: obtaining silhouette images; creating a cube on a three-dimensional space using the silhouette images; calculating vertex coordinates on a two-dimensional image plane by projecting eight vertices of the three-dimensional cube on a two-dimensional image plane of a first camera; dividing into multiple inner voxels by dividing sides formed by the eight vertices by a divider; dividing into a predetermined number of regions by dividing sides connecting the coordinates by a predetermined divider; assigning indices by matching cubes of the three-dimensional cube to square regions on the two-dimensional image plane in one to one manner; storing indices of regions where the square regions meets with a first silhouette image; and reconstructing three-dimensional structure by finding common indices through repeatedly performing the steps using other silhouette images.
    • 提供了使用二维平面上的轮廓信息来重建三维结构的方法。 该方法包括:获得剪影图像; 使用剪影图像在三维空间上创建立方体; 通过在第一相机的二维图像平面上投影三维立方体的八个顶点来计算二维图像平面上的顶点坐标; 通过将由八个顶点形成的边划分成分隔线,将其划分成多个内部体素; 通过将连接该坐标的一侧划分预定的分割器来划分为预定数量的区域; 通过将三维立方体的立方体与二维图像平面上的方形区域一一对应地分配索引; 存储所述正方形区域与第一轮廓图像相交的区域的索引; 并通过重复执行使用其他轮廓图像的步骤来找到共同的索引来重建三维结构。