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    • 31. 发明授权
    • Method and apparatus for environment recognition
    • 环境识别方法和装置
    • US06535114B1
    • 2003-03-18
    • US09533167
    • 2000-03-22
    • Toshihiko SuzukiTakeo Kanade
    • Toshihiko SuzukiTakeo Kanade
    • B60Q100
    • G06T7/20G06T7/70G06T2207/30244
    • Images are captured using a single camera in motion. A recognition process section detects a possible object in a photographed image, tracks the possible object within the moving image, and generates object shape information from the trajectory information. A motion and pose determination section determines camera motion and pose using the photographed images for recognition processing. The determined data are used for object recognition along with the tracking information. The motion and pose determination section converts the optical flow parameters obtained from the photographed images into physical parameters in three-dimensional space. An Extended Kalman Filter is used for both the determination of motion and pose and for object recognition.
    • 使用单个相机运动拍摄图像。 识别处理部分检测拍摄图像中的可能对象,跟踪运动图像内的可能对象,并从轨迹信息生成对象形状信息。 运动和姿势确定部分使用所拍摄的图像来确定相机运动和姿势以进行识别处理。 确定的数据与跟踪信息一起用于对象识别。 运动和姿势确定部分将从拍摄图像获得的光流参数转换成三维空间中的物理参数。 扩展卡尔曼滤波器用于运动和姿态的确定以及对象识别。
    • 33. 发明授权
    • Polyhedron recognition system
    • 多面体识别系统
    • US07653216B2
    • 2010-01-26
    • US10743299
    • 2003-12-23
    • Takeo KanadeTaku Osada
    • Takeo KanadeTaku Osada
    • G06K9/00G06K9/46
    • G06K9/6203G06T7/593
    • A polyhedron recognition system that is not easily affected by the camera position and camera range when the shape of a staircase or other polyhedron is recognized from an image obtained by photography, and that can also recognize the shape with good accuracy. In the system, predetermined regions (staircase candidate regions) within the image input from two CCD cameras are selected, and a range image is obtained stereoscopically with the two cameras, while also a candidate region upon the range image obtained based on the selected region is set, and the shape of the staircase or other polyhedron is recognized based on the set range image within the candidate region.
    • 当通过摄影获得的图像识别阶梯或其他多面体的形状时,不容易受相机位置和照相机范围的影响的多面体识别系统,并且还可以以高精度识别形状。 在该系统中,选择从两个CCD摄像机输入的图像内的预定区域(阶梯候选区域),并且利用两个摄像机立体地获得范围图像,同时基于所选择的区域获得的范围图像上的候选区域 并且基于候选区域内的设定范围图像来识别楼梯或其他多面体的形状。
    • 34. 发明授权
    • System and method for servoing on a moving fixation point within a dynamic scene
    • US07027083B2
    • 2006-04-11
    • US10074314
    • 2002-02-12
    • Takeo KanadeRobert CollinsOmead AmidiRyan MillerWei Hua
    • Takeo KanadeRobert CollinsOmead AmidiRyan MillerWei Hua
    • H04N7/18
    • H04N5/2627H04N5/222H04N5/232H04N5/262
    • A system and method for servoing on a moving target within a dynamic scene. According to one embodiment, the system includes a master variable pointing camera system and a plurality of slave variable pointing camera systems positioned around the scene. The system also includes a master control unit in communication with the master variable pointing camera system. The master control unit is for determining, based on parameters of the master variable pointing camera system, parameters for each of the slave variable pointing camera systems such that, at a point in time, the master variable pointing camera system and the slave variable pointing camera systems are aimed at the target and a size of the target in an image from each of the master variable pointing camera system and the slave variable pointing camera systems is substantially the same. The system also includes a plurality of slave camera control units in communication with the master control unit. The slave camera control units are for controlling at least one of the slave variable pointing camera systems based on the parameters for each of the slave variable pointing camera systems. The system may also include a video image sequence generator in communication with the master control unit and the slave camera control units. The video image sequence generator may generate a video image sequence of the target by outputting an image from certain of the master variable pointing camera system and the slave variable pointing camera systems in sequence according to the position of the master variable pointing camera system and the slave variable pointing camera systems around the scene.
    • 36. 发明申请
    • Polyhedron recognition system
    • 多面体识别系统
    • US20050135680A1
    • 2005-06-23
    • US10743299
    • 2003-12-23
    • Takeo KanadeTaku Osada
    • Takeo KanadeTaku Osada
    • G06T1/00G06K9/00G06K9/64G06T7/00
    • G06K9/6203G06T7/593
    • A polyhedron recognition system that is not easily affected by the camera position and camera range when the shape of a staircase or other polyhedron is recognized from an image obtained by photography, and that can also recognize the shape with good accuracy. In the system, predetermined regions (staircase candidate regions) within the image input from two CCD cameras are selected, and a range image is obtained stereoscopically with the two cameras, while also a candidate region upon the range image obtained based on the selected region is set, and the shape of the staircase or other polyhedron is recognized based on the set range image within the candidate region.
    • 当通过摄影获得的图像识别阶梯或其他多面体的形状时,不容易受相机位置和照相机范围的影响的多面体识别系统,并且还可以以高精度识别形状。 在该系统中,选择从两个CCD摄像机输入的图像内的预定区域(阶梯候选区域),并且利用两个摄像机立体地获得范围图像,同时基于所选择的区域获得的范围图像上的候选区域 并且基于候选区域内的设定范围图像来识别楼梯或其他多面体的形状。
    • 37. 发明授权
    • Object finder for photographic images
    • 摄影图像的物体探测器
    • US06829384B2
    • 2004-12-07
    • US09795208
    • 2001-02-28
    • Henry SchneidermanTakeo Kanade
    • Henry SchneidermanTakeo Kanade
    • G06K900
    • G06K9/527G06K9/3241G06K9/6278G06T7/73
    • An object finder program for detecting presence of a 3D object in a 2D image containing a 2D representation of the 3D object. The object finder uses the wavelet transform of the input 2D image for object detection. A pre-selected number of view-based detectors are trained on sample images prior to performing the detection on an unknown image. These detectors then operate on the given input image and compute a quantized wavelet transform for the entire input image. The object detection then proceeds with sampling of the quantized wavelet coefficients at different image window locations on the input image and efficient look-up of pre-computed log-likelihood tables to determine object presence. The object finder's coarse-to-fine object detection strategy coupled with exhaustive object search across different positions and scales results in an efficient and accurate object detection scheme. The object finder detects a 3D object over a wide range in angular variation (e.g., 180 degrees) through the combination of a small number of detectors each specialized to a small range within this range of angular variation.
    • 一种用于在包含3D对象的2D表示的2D图像中检测3D对象的存在的对象取景器程序。 物体识别器使用输入2D图像的小波变换进行物体检测。 在对未知图像执行检测之前,对样本图像进行基于视图的检测器的预选数量的训练。 然后这些检测器对给定的输入图像进行操作,并计算整个输入图像的量化小波变换。 然后,对象检测继续在输入图像上的不同图像窗口位置处的量化小波系数的采样和预计算的对数似然表的高效查找以确定对象存在。 对象查找器的粗略对象检测策略与跨不同位置和尺度的详尽对象搜索相结合,可以实现高效准确的对象检测方案。 物体探测器通过少量检测器的角度变化(例如,180度)的宽范围内检测3D对象,每个检测器专门用于在该角度变化范围内的小范围。