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    • 1. 发明申请
    • METHOD AND APPARATUS FOR MACHINE-VISION
    • 用于机器视觉的方法和设备
    • WO2006019970A3
    • 2006-09-08
    • PCT/US2005025083
    • 2005-07-14
    • BRAINTECH CANADA INCABRAMONTE FRANKBOCA REMUSPESCARU SIMONAHABIBI BABAKSAMETI MOHAMMAD
    • BOCA REMUSPESCARU SIMONAHABIBI BABAKSAMETI MOHAMMAD
    • G06T7/00
    • G06K9/32G06T7/593G06T7/74G06T7/75G06T7/80
    • A system and method facilitate machine-vision, for example three-dimensional pose estimation for target objects, using one or more images sensors to acquire images of the target object at one or more positions, and to identify features of the target object in the resulting images. A set of equations is set up using sparse model information such as the constancy of distances, angles and enclosed volumes between features. The set of equations may be solved to estimate a 3D pose. The number of positions may be determined based on the number of image sensors, number of features identified, and/or number of known physical relationships between less than all features. A knowledge of physical relationships between various image sensors and/or between features and image sensors may be employed. The pose may be used to transform a robot path, to align the path with a current position of the target object.
    • 系统和方法利用一个或多个图像传感器来获取机器视觉,例如用于目标物体的三维姿态估计,以获取目标物体在一个或多个位置处的图像,并识别目标物体在所得结果中的特征 图片。 使用稀疏模型信息建立一组等式,例如距离,角度和特征之间的封闭体积的恒定性。 该组方程可以被求解以估计3D姿态。 可以基于图像传感器的数量,所标识的特征的数量和/或少于所有特征之间的已知物理关系的数量来确定位置的数量。 可以采用各种图像传感器之间和/或特征与图像传感器之间的物理关系的知识。 该姿态可用于变换机器人路径,以将路径与目标对象的当前位置对齐。