公开(公告)号：US20120163704A1

公开(公告)日：2012-06-28

申请号：US13326794

申请日：2011-12-15

申请人： Ji Ho Chang ,  Eul Gyoon Lim ,  Ho Chul Shin ,  Jae II Cho

发明人： Ji Ho Chang ,  Eul Gyoon Lim ,  Ho Chul Shin ,  Jae II Cho

IPC分类号： G06K9/68

CPC分类号： G06T7/0022 ,  G06T7/593 ,  G06T7/97 ,  G06T2207/20028

摘要： An image matching apparatus includes a bilateral filter that filters a left image and a right image to output a second left image and a second right image; a census cost calculation unit performing census transform on a window based on a first pixel of the second left image and a window based on a second pixel of the second right image to calculate a census cost corresponding to a pair of pixels of the first and second pixels; a support weight calculation unit obtaining support weights of the left and right images or the second left and second right images; a cost aggregation unit obtaining energy values of nodes corresponding to the pair of pixels of the first and second pixels using the census cost and the support weights; and a dynamic programming unit performing image matching using dynamic programming by the energy values of each node obtained.

摘要翻译： 图像匹配装置包括对左图像和右图像进行滤波以输出第二左图像和第二右图像的双边滤波器; 人口普查成本计算单元，基于第二左图像的第一像素在窗口上执行普查变换，并且基于第二右图像的第二像素执行窗口，以计算与第一和第二图像的一对像素对应的人口普查成本 像素; 支持权重计算单元获得左图像或右图像或第二左右图像的支持权重; 成本聚合单元，使用所述普查成本和所述支持权重来获得与所述第一和第二像素的所述像素对对应的节点的能量值; 以及动态编程单元，通过使用所获得的每个节点的能量值，使用动态规划来执行图像匹配。

公开(公告)号：US20100070187A1

公开(公告)日：2010-03-18

申请号：US12362992

申请日：2009-01-30

申请人： Seung Min CHOI ,  Ji Ho Chang ,  Jae II Cho ,  Dae Hwan Hwang ,  Jae Yeon Lee ,  Do Hyung Kim ,  Eul Gyoon Lim ,  Ho Chul Shin

发明人： Seung Min CHOI ,  Ji Ho Chang ,  Jae II Cho ,  Dae Hwan Hwang ,  Jae Yeon Lee ,  Do Hyung Kim ,  Eul Gyoon Lim ,  Ho Chul Shin

IPC分类号： G06F19/00

CPC分类号： G01H17/00 ,  G06K9/00348 ,  G06K9/0053

摘要： Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

摘要翻译： 提供了基于步行模式识别用户的人类识别装置和人类识别方法。 人体识别装置包括检测单元，用于根据用户的步行检测振动，并从电信号中输出电信号，图案计算单元获取步行模式;以及用户确定单元，将步行模式与先前测量 用户参考数据，并根据比较结果识别用户。 人类识别装置和人类识别方法对于外围噪声是鲁棒的，并且可以通过使用作为用户识别数据的不需要大量数据吞吐量的一维时间信息的波动模式，通过简单的结构和过程来提高接受率 。

公开(公告)号：US20090141938A1

公开(公告)日：2009-06-04

申请号：US12265365

申请日：2008-11-05

申请人： Eul Gyoon Lim ,  Jae II Cho ,  Dae Hwan Hwang

发明人： Eul Gyoon Lim ,  Jae II Cho ,  Dae Hwan Hwang

IPC分类号： G06K9/00 ,  H04N11/02 ,  H04N7/18

CPC分类号： H04N7/18 ,  G06K9/00664 ,  G06T7/593 ,  G06T2207/10021 ,  G06T2207/20021 ,  G06T2207/20052 ,  G06T2207/30196 ,  G06T2207/30261

摘要： A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.

摘要翻译： 用于输出视差图的机器人视觉系统包括用于接收左图像和右图像并在两个图像之间输出视差图的立体相机; 用于将左图像或右图像编码为基于运动补偿的视频比特流的编码器; 以及用于从视频比特流中提取图像块的编码类型，运动矢量和DCT系数的解码器。 此外，该系统包括人物检测器，用于使用左图像和右图像之间的视差图，块编码类型和运动矢量来检测和标记图像中的人物块，并且检测从标记的人到 相机; 以及用于检测比使用从视频比特流提取的块编码类型，运动矢量和DCT系数的人和视差图更接近的障碍物的障碍物检测器。

公开(公告)号：US20130163869A1

公开(公告)日：2013-06-27

申请号：US13614652

申请日：2012-09-13

申请人： Ji Ho CHANG ,  Dae Hwan Hwang ,  Jae II Cho ,  Dong II Han ,  Jong Ho Choi

发明人： Ji Ho CHANG ,  Dae Hwan Hwang ,  Jae II Cho ,  Dong II Han ,  Jong Ho Choi

IPC分类号： G06K9/48

CPC分类号： G06K9/4604

摘要： Disclosed are an apparatus and a method for extracting an edge to be used for extracting a feature point of an object in an image. The present invention proposes an image edge extracting apparatus and method that remove noise in an input image, calculate a gradient of an image in a noise-removed image, measure magnitude of the gradient, extract an edge having a maximum thickness value, and then calculate a threshold using a ratio of the extracted edge, and detect a final edge robust against noise based on the threshold.

摘要翻译： 公开了一种用于提取要用于提取图像中的对象的特征点的边缘的装置和方法。 本发明提出了一种去除输入图像中的噪声，计算噪声去除图像中的图像的梯度，测量梯度的幅度，提取具有最大厚度值的边缘的图像边缘提取装置和方法，然后计算 阈值，使用所提取的边缘的比率，并且基于阈值检测对噪声的鲁棒性的最终边缘。