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    • 24. 发明申请
    • Robot apparatus, face recognition method, and face recognition apparatus
    • 机器人装置,人脸识别方法和人脸识别装置
    • US20050036649A1
    • 2005-02-17
    • US10399740
    • 2002-08-21
    • Jun YokonoKohtaro SabeKenta Kawamoto
    • Jun YokonoKohtaro SabeKenta Kawamoto
    • G06K9/00
    • G06K9/00288G06K9/00221G06K9/00228
    • A robot includes a face extracting section for extracting features of a face included in an image captured by a CCD camera, and a face recognition section for recognizing the face based on a result of face extraction by the face extracting section. The face extracting section is implemented by Gabor filters that filter images using a plurality of filters that have orientation selectivity and that are associated with different frequency components. The face recognition section is implemented by a support vector machine that maps the result of face recognition to a non-linear space and that obtains a hyperplane that separates in that space to discriminate a face from a non-face. The robot is allowed to recognize a face of a user within a predetermined time under a dynamically changing environment.
    • 机器人包括:面部提取部,用于提取由CCD照相机拍摄的图像中包含的面部的特征;以及面部识别部,其基于面部提取部的面部提取的结果识别脸部。 人脸提取部分由Gabor滤波器实现,该滤波器使用具有取向选择性并且与不同频率分量相关联的多个滤波器对图像进行滤波。 脸部识别部分由支持向量机实现,该支持向量机将人脸识别的结果映射到非线性空间,并获得在该空间中分离的超平面,以将脸部与非脸部区分开。 允许机器人在动态变化的环境下在预定时间内识别用户的脸部。
    • 25. 发明授权
    • Robot apparatus and control method thereof
    • 机器人装置及其控制方法
    • US06850818B2
    • 2005-02-01
    • US10451331
    • 2002-10-22
    • Kohtaro SabeKenta Kawamoto
    • Kohtaro SabeKenta Kawamoto
    • G05B19/4097G06N3/00G05B19/04G05B19/18
    • G06N3/008G05B19/4097G05B2219/33051
    • A robot apparatus integrates individual recognition results received asynchronously and then passes the integrated information to a behavior module. Thus, handling of information in the behavior module is facilitated. Since information regarding recognized observation results is held as a memory, even if observation results are temporarily missing, it appears to an upper module that items are constantly there in perception. Accordingly, insusceptibility against recognizer errors and sensor noise is improved, so that a stable system that is not dependent on timing of notifications by recognizers is implemented. Thus, the robot apparatus integrates a plurality of recognition results from external environment and handles the integrated information as meaningful symbol information, allowing sophisticated behavior control.
    • 机器人装置将异步收集的各个识别结果进行集成,然后将综合信息传递给行为模块。 因此,促进了行为模块中的信息的处理。 由于有关识别观察结果的信息作为记忆保存,即使观察结果暂时缺失,上层模块也看到物品在感知中不断存在。 因此,提高了对识别器误差和传感器噪声的不敏感性,从而实现了不依赖于识别器的通知定时的稳定系统。 因此,机器人装置将来自外部环境的多个识别结果进行集成,并将集成信息作为有意义的符号信息进行处理,从而允许复杂的行为控制。
    • 26. 发明授权
    • Method and apparatus for detecting plane, and robot apparatus having apparatus for detecting plane
    • 用于检测平面的方法和装置,以及具有用于检测平面的装置的机器人装置
    • US08289321B2
    • 2012-10-16
    • US10593150
    • 2005-03-17
    • Steffen GutmannMasaki FukuchiKohtaro SabeKenta Kawamoto
    • Steffen GutmannMasaki FukuchiKohtaro SabeKenta Kawamoto
    • G06T15/30
    • G06K9/00664B62D57/024G06K9/00201G06T7/13G06T7/73G06T2207/30252
    • In a plane detection apparatus, a plane detection unit (3) includes a line fitting block (4) to select a group of distance data points being in one plane from distance data forming an image and extract lines from the distance data point group, and a region growing block (5) to detect one or more planar regions existing in the image from a group of all lines included in the image and extracted by the line fitting block (4). The line fitting block (4) first draws a line D1 connecting end points of the distance data point group, searches a point of interest brk whose distance to the line L1 is largest, segments the data point group by the point of interest brk when the distance is larger than a predetermined threshold, and determines a line L2 by the least-squares method when the distance is smaller than the predetermined threshold. In case there exists a larger number of data points than a predetermine number on one side of the line L2, the data point group is determined to be in a zig-zag shape, the data point group is segmented by the point of interest brk. These operations are done repeatedly. Thus, a plurality of planes robust against noises is detected simultaneously and accurately from distance data including measurement noises.
    • 在平面检测装置中,平面检测装置(3)包括线拟合块(4),用于从形成图像的距离数据中选择位于一个平面中的一组距离数据点,并从距离数据点组提取线, 区域生长块(5),用于检测图像中存在的一个或多个平面区域,所述平面区域包括在所述图像中并由所述线拟合块(4)提取。 线拟合块(4)首先画出连接距离数据点组的端点的线D1,搜索距离线L1的距离最大的兴趣点brk,当数据点组的距离为 距离大于预定阈值,并且当距离小于预定阈值时,通过最小二乘法确定线路L2。 在线L2的一侧存在比预定数更多的数据点的情况下,数据点组被确定为Z字形,数据点组被兴趣点brk分割。 这些操作重复完成。 因此,从包括测量噪声的距离数据同时且准确地检测到抵抗噪声的多个平面。
    • 28. 发明授权
    • Obstacle recognition apparatus and method, obstacle recognition program, and mobile robot apparatus
    • 障碍识别装置和方法,障碍物识别程序和移动机器人装置
    • US07386163B2
    • 2008-06-10
    • US10387647
    • 2003-03-13
    • Kohtaro SabeKenta KawamotoTakeshi OhashiMasaki FukuchiAtsushi OkuboSteffen Gutmann
    • Kohtaro SabeKenta KawamotoTakeshi OhashiMasaki FukuchiAtsushi OkuboSteffen Gutmann
    • G06K9/00H04N15/00H04N7/00H04N7/18G06F19/00G06F17/10G01C22/00
    • G06K9/00664G06T7/97
    • An obstacle recognition apparatus is provided which can recognize an obstacle by accurately extracting a floor surface. It includes a distance image generator (222) to produce a distance image using a disparity image and homogeneous transform matrix, a plane detector (223) to detect plane parameters on the basis of the distance image from the distance image generator (222), a coordinate transformer (224) to transform the homogeneous transform matrix into a coordinate of a ground-contact plane of a robot apparatus (1), and a floor surface detector (225) to detect a floor surface using the plane parameters from the plane detector (223) and result of coordinate transformation from the coordinate transformer (224) and supply the plane parameters to an obstacle recognition block (226). The obstacle recognition block (226) selects one of points on the floor surface using the plane parameters of the floor surface detected by the floor surface detector (225) and recognizes an obstacle on the basis of the selected point.
    • 提供了能够通过精确地提取地板面来识别障碍物的障碍物识别装置。 它包括使用视差图像和均匀变换矩阵产生距离图像的距离图像生成器(222),基于距离图像生成器(222)的距离图像检测平面参数的平面检测器(223), 将所述均匀变换矩阵变换为机器人装置(1)的接地面的坐标的坐标变换器(224)和使用来自所述平面检测器的平面参数来检测地板面的地板面检测器(225) 223)和从坐标变换器(224)的坐标变换的结果,并将平面参数提供给障碍物识别块(226)。 障碍物识别块(226)使用由地板表面检测器(225)检测到的地板表面的平面参数来选择地板表面上的一个点,并基于所选择的点识别障碍物。