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Computer-based method and system for dynamic category object recognition

机译:基于计算机的动态类别目标识别方法和系统

摘要

A computer-based method/system of dynamic category object recognition for estimating pose and/or positioning of target objects and target object's parts. The method/system may recognize a target object and the target object's parts. The method/system may segment and extract data corresponding to the target object and the target object's parts, and estimate the pose and positioning of the target object and the target object's parts using a plurality of stored object models. The dynamic method/system may supplement or modify the parameters of the plurality of stored object models and/or store learned object models. The learned object models assist in recognizing and estimating pose and/or positioning of newly encountered objects more accurately and with fewer processing steps. The method and system may include a processor, a sensor, an external device, a communications unit, and a database.
机译:动态类别对象识别的基于计算机的方法/系统,用于估计目标对象和目标对象的零件的姿势和/或位置。该方法/系统可以识别目标对象和目标对象的部分。该方法/系统可以分割并提取与目标对象和目标对象的部件相对应的数据,并使用多个存储的对象模型来估计目标对象和目标对象的部件的姿势和位置。动态方法/系统可以补充或修改多个存储的对象模型和/或存储学习的对象模型的参数。所学习的对象模型有助于更准确地并且以较少的处理步骤来识别和估计新遇到的对象的姿势和/或位置。该方法和系统可以包括处理器,传感器,外部设备,通信单元和数据库。

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