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OCCLUSION AND ROTATION INVARIANT OBJECT RECOGNITION SYSTEM AND METHOD IN FACTORY AUTOMATION

机译:工厂自动化中遮挡和旋转不变的物体识别系统及方法

摘要

The present invention relates to a factory automation object recognizing system and method robust against cloaking and rotation, and more particularly, to a system and method for recognizing a factory automation object, comprising an input unit for photographing an object placed on a factory automation line and acquiring a scene image; A region of interest setting unit for setting a region of interest by comparing the scene image with a previously input background image; A ring projection unit for extracting a candidate group corresponding to a value having a correlation of at least a predetermined first threshold value using a ring projection for a set ROI; A radiation projection unit for extracting a projection vector from a template image, dividing a scene image from the extracted candidate group into quadrants and extracting a projection vector from each divided region; And an object determination unit for calculating a correlation through the extracted template image and the radiation projection vector of each region, and for comparing the correlations and recognizing the object.
机译:技术领域本发明涉及对伪装和旋转具有鲁棒性的工厂自动化对象识别系统和方法,更具体地,涉及用于识别工厂自动化对象的系统和方法,该系统和方法包括用于拍摄放置在工厂自动化线上的对象的输入单元和获取场景图像;感兴趣区域设置单元,用于通过将场景图像与先前输入的背景图像进行比较来设置感兴趣区域;环形投影单元,用于针对设置的ROI使用环形投影来提取与具有至少预定的第一阈值的相关性的值相对应的候选组;辐射投影单元,用于从模板图像中提取投影矢量,将所提取的候选组中的场景图像划分为多个象限,并从各个划分区域中提取投影矢量;对象确定单元用于通过提取的模板图像和每个区域的辐射投影矢量来计算相关性,并且用于比较相关性和识别对象。

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