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    • 1. 发明授权
    • 3-dimensional object recognition method and bin-picking system using the method
    • 3维物体识别方法和采摘系统采用该方法
    • US06721444B1
    • 2004-04-13
    • US09581550
    • 2000-07-13
    • Haisong GuTomoharu NakaharaHidekazu ArakiHiroyuki Fujii
    • Haisong GuTomoharu NakaharaHidekazu ArakiHiroyuki Fujii
    • G06K900
    • B25J9/1697G05B2219/40053G06T7/74G06T7/97
    • A 3-dimensional object recognition method, by use of which three-dimensional position and posture of an object can be accurately recognized at high speed, comprises the steps of (A) taking a pair of first and second images for making a stereo image of the object; (B) detecting a two-dimensional feature of the object on each of the first and second images; (C) evaluating a degree of reliability of the result of the step (B) by comparing with a model data of the object; (D) making a correspondence of the two-dimensional feature between the first and second images according to a stereoscopic measurement principle; (E) evaluating a degree of reliability of the result of the step (D) by comparing the two-dimensional feature detected on the first image with the corresponding two-dimensional feature detected on the second image; (F) recognizing the three-dimensional position and posture of the object according to information in three dimensions of the two-dimensional feature obtained by the correspondence; and (G) evaluating a degree of reliability of the recognized three-dimensional position and posture. It is preferred to use the 3-dimensional object recognition method to a bin-picking system for picking up an article from a bin, in which a plurality of articles are heaped up in confusion, and carrying the picked-up article to a required position.
    • 通过使用能够高速准确识别对象的三维位置和姿势的三维物体识别方法,包括以下步骤:(A)拍摄一对第一和第二图像以使立体图像成为 物体; (B)在所述第一和第二图像中的每一个上检测所述对象的二维特征; (C)通过与对象的模型数据进行比较来评估步骤(B)的结果的可靠性程度; (D)根据立体测量原理对第一和第二图像之间的二维特征进行对应; (E)通过将在第一图像上检测到的二维特征与在第二图像上检测到的对应的二维特征进行比较来评估步骤(D)的结果的可靠性程度; (F)根据通过对应获得的二维特征的三维信息,识别物体的三维位置和姿势; 和(G)评估所识别的三维位置和姿势的可靠度。 优选的是,将三维物体识别方法用于拾取拾取系统,用于从垃圾箱拾取物品,其中多个物品混淆堆积,并将拾取的物品运送到所需位置 。
    • 4. 发明授权
    • Autonomously moving robot
    • 自动移动机器人
    • US07684894B2
    • 2010-03-23
    • US10549110
    • 2004-03-12
    • Tatsuo SakaiTomoharu NakaharaHitoshi KitanoYukihiko KitanoTsuyoshi YamaneHiroyuki Fujii
    • Tatsuo SakaiTomoharu NakaharaHitoshi KitanoYukihiko KitanoTsuyoshi YamaneHiroyuki Fujii
    • G06F19/00
    • G05D1/0246
    • An autonomously moving robot that drives while evading an obstacle by an environment information acquisitioner. The information acquisitioner includes an imager that takes an image of a circumference on a driving route, an image recognition processor that extracts an area having a property relating to a region of a human body, a ranger that measures a range and an orientation to an object existing in the circumference on the driving route, a range information analyzer that obtains a shape of the object, and an environment recognizer that recognizes the environment information on the driving route. The environment recognizer compares the area extracted in the image recognition processor with the object recognized in the range information analyzer, and recognizes the object as a person when both of them agree with each other.
    • 一种自动移动的机器人,在环境信息采集器避开障碍物的同时驱动。 该信息获取装置包括拍摄驾驶路线周围的图像的图像摄像机,提取与人体的区域有关的属性的区域的图像识别处理器,测量对象的范围和取向的游标者 存在于驾驶路线的圆周上,获取对象的形状的范围信息分析器和识别驾驶路线的环境信息的环境识别器。 环境识别器将图像识别处理器中提取的区域与范围信息分析器中识别的对象进行比较,并且当对象彼此一致时将该对象识别为人。
    • 5. 发明申请
    • Autonomously moving robot
    • 自动移动机器人
    • US20060184274A1
    • 2006-08-17
    • US10549110
    • 2004-03-12
    • Tatsuo SakaiTomoharu NakaharaHitoshi KitanoYukihiko KitanoTsuyoshi YamaneHiroyuki Fujii
    • Tatsuo SakaiTomoharu NakaharaHitoshi KitanoYukihiko KitanoTsuyoshi YamaneHiroyuki Fujii
    • G06F19/00
    • G05D1/0246
    • An autonomously moving robot drives while evading an obstacle by recognizing the obstacle and self-location by an environment information acquisitioner. The information acquisitioner comprises an imager that takes an image of a circumference on a driving route, an image recognition processor that extracts an area having a property relating to a region of a human body by arithmetically processing the photographed image, a ranger that measures a range and an orientation to an object existing in the circumference on the driving route, a range information analyzer that obtains a shape of the object by arithmetically processing the obtained range information and recognizing that the object is a candidate of a person, and an environment recognizer that recognizes the environment information on the driving route. The environment recognizer compares an orientation of an area having the property extracted in the image recognition processor with an orientation of the object recognized as the candidate of a person in the range information analyzer, and recognize the object as a person when both of them agree with reach other. Thereby, the autonomously moving robot drives safely and smoothly corresponding to the obstacle by judging what the obstacle is.
    • 自动移动机器人通过识别环境信息获取器的障碍物和自身位置来避开障碍物。 信息获取器包括拍摄驾驶路线上的圆周图像的图像摄像机,通过对拍摄图像进行算术处理来提取与人体的区域有关的属性的区域的图像识别处理器,测量范围 以及对于存在于驾驶路线上的圆周中的物体的取向,范围信息分析器,其通过对获得的范围信息进行算术处理并且识别出该对象是人的候选者来获得对象的形状;以及环境识别器, 识别驾驶路线上的环境信息。 环境识别器将具有在图像识别处理器中提取的属性的区域的方位与在范围信息分析器中被识别为人的候选的对象的方位进行比较,并且当两者都同意时将该对象识别为人 到达其他 因此,通过判断障碍物是什么,自主运动的机器人能够安全平稳地对应于障碍物。
    • 6. 发明申请
    • STEREO CAMERA DEVICE AND COMPUTER-READABLE RECORDING MEDIUM
    • 立体相机设备和计算机可读记录介质
    • US20140043444A1
    • 2014-02-13
    • US14113975
    • 2012-05-30
    • Kazuma HaraguchiNobuhiro MiichiTomoharu Nakahara
    • Kazuma HaraguchiNobuhiro MiichiTomoharu Nakahara
    • H04N13/02
    • H04N13/239G01B11/03G01C3/085G06T3/0062G06T7/593G06T2207/10012H04N13/296H04N2013/0081
    • The stereo camera device includes: a pair of cameras; a first converter converting images of the cameras into first conversion images; a second converter converting the images into second conversion images; and a disparity estimation unit. The first conversion image is an image in which positions of pixels are represented by two-dimensional orthogonal coordinates defined by a first angle around a first axis defined by a straight line connecting optical centers of the cameras and a second angle around a second axis defined by an optical axis of the camera. The second conversion image is an image in which positions of pixels are represented by two-dimensional orthogonal coordinates defined by the first angle and a third angle around a third axis orthogonal to the first and second axes. The disparity estimation unit calculates a disparity of a desired point in a space based on the first and second conversion images.
    • 立体相机装置包括:一对相机; 将相机的图像转换成第一转换图像的第一转换器; 将图像转换成第二转换图像的第二转换器; 和视差估计单元。 第一转换图像是其中像素的位置由通过由连接照相机的光学中心的直线限定的第一轴围绕第一角度限定的二维正交坐标和围绕第二轴定义的第二角度的第二角度 相机的光轴。 第二转换图像是其中像素的位置由由第一角度定义的二维正交坐标和围绕与第一和第二轴正交的第三轴的第三角度表示的图像。 视差估计单元基于第一和第二转换图像来计算空间中的期望点的视差。