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    • 1. 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。
    • 7. 发明授权
    • Face image processing apparatus, face image processing method, and computer program
    • 面部图像处理装置,面部图像处理方法和计算机程序
    • US08331616B2
    • 2012-12-11
    • US12191610
    • 2008-08-14
    • Kohtaro SabeAtsushi OkuboJun Yokono
    • Kohtaro SabeAtsushi OkuboJun Yokono
    • G06K9/00
    • G06K9/00248
    • A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.
    • 面部图像处理装置通过统计学习选择特征点和特征来识别人。 该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置,用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置,基于检测位置估计面部姿势的面部姿势估计装置 特征点位置校正装置,用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置,以及面部识别装置,用于通过计算特征来识别人物 通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像,并针对登记面部的特征检查特征。
    • 8. 发明申请
    • INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
    • 信息处理设备,信息处理方法和程序
    • US20100329544A1
    • 2010-12-30
    • US12816779
    • 2010-06-16
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • G06K9/62
    • G06K9/6256G06K9/00288G06K9/4614
    • An information processing apparatus includes the following elements. A learning unit is configured to perform Adaptive Boosting Error Correcting Output Coding learning using image feature values of a plurality of sample images each being assigned a class label to generate a multi-class classifier configured to output a multi-dimensional score vector corresponding to an input image. A registration unit is configured to input a register image to the multi-class classifier, and to register a multi-dimensional score vector corresponding to the input register image in association with identification information about the register image. A determination unit is configured to input an identification image to be identified to the multi-class classifier, and to determine a similarity between a multi-dimensional score vector corresponding to the input identification image and the registered multi-dimensional score vector corresponding to the register image.
    • 信息处理装置包括以下要素。 学习单元被配置为使用多个样本图像的图像特征值来执行自适应提升误差校正输出编码学习,每个样本图像被分配类别标签,以生成被配置为输出与输入相对应的多维得分向量的多类分类器 图片。 注册单元被配置为将注册图像输入到多类分类器,并且与关于注册图像的识别信息相关联地注册与输入注册图像相对应的多维分数向量。 确定单元被配置为将要识别的识别图像输入到多类分类器,并且确定与输入的标识图像相对应的多维得分向量与对应于寄存器的登记的多维得分向量之间的相似度 图片。
    • 9. 发明申请
    • FACE IMAGE PROCESSING APPARATUS, FACE IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM
    • 面部图像处理设备,脸部图像处理方法和计算机程序
    • US20090060290A1
    • 2009-03-05
    • US12191610
    • 2008-08-14
    • Kohtaro SABEAtsushi OkuboJun Yokono
    • Kohtaro SABEAtsushi OkuboJun Yokono
    • G06K9/00
    • G06K9/00248
    • A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.
    • 面部图像处理装置通过统计学习选择特征点和特征来识别人。 该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置,用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置,基于检测位置估计面部姿势的面部姿势估计装置 特征点位置校正装置,用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置,以及面部识别装置,用于通过计算特征来识别人物 通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像,并针对登记面部的特征检查特征。
    • 10. 发明授权
    • Information processing apparatus, information processing method, and program
    • 信息处理装置,信息处理方法和程序
    • US08401283B2
    • 2013-03-19
    • US12816779
    • 2010-06-16
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • Kohtaro SabeAtsushi OkuboKenichi Hidai
    • G06K9/00
    • G06K9/6256G06K9/00288G06K9/4614
    • An information processing apparatus includes the following elements. A learning unit is configured to perform Adaptive Boosting Error Correcting Output Coding learning using image feature values of a plurality of sample images each being assigned a class label to generate a multi-class classifier configured to output a multi-dimensional score vector corresponding to an input image. A registration unit is configured to input a register image to the multi-class classifier, and to register a multi-dimensional score vector corresponding to the input register image in association with identification information about the register image. A determination unit is configured to input an identification image to be identified to the multi-class classifier, and to determine a similarity between a multi-dimensional score vector corresponding to the input identification image and the registered multi-dimensional score vector corresponding to the register image.
    • 信息处理装置包括以下要素。 学习单元被配置为使用多个样本图像的图像特征值来执行自适应提升误差校正输出编码学习,每个样本图像被分配类别标签,以生成被配置为输出与输入相对应的多维得分向量的多类分类器 图片。 注册单元被配置为将注册图像输入到多类分类器,并且与关于注册图像的识别信息相关联地注册与输入注册图像相对应的多维分数向量。 确定单元被配置为将要识别的识别图像输入到多类分类器,并且确定与输入的标识图像相对应的多维得分向量与对应于寄存器的登记的多维得分向量之间的相似度 图片。