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Machine vision method using search models to find features in three-dimensional images

机译:使用搜索模型在三维图像中查找特征的机器视觉方法

摘要

A system and method for analyzing 3D captured image data of scanned surfaces to locate object of interest, such as solder balls. A 3D model is created of an object of interest, the 3D model including weighted “don't care” areas where a match is not required. The 3D models which are used include geometric shapes, including a frustum, and models created from actual 3D image data of real objects. The 3D captured image data is processed to locate objects matching the 3D models, including processing by normalized correlation. Once the objects are located, the system selects data points within the 3D captured image data that are a predetermined distance away from the located objects. These data points are analyzed to determine a surface plane which fits the selected data points, thereby locating the surface in the 3D capture image data.
机译:一种用于分析扫描表面的3D捕获图像数据以定位感兴趣对象(例如焊球)的系统和方法。创建感兴趣的对象的3D模型,该3D模型包括加权的“不在乎”。不需要匹配的区域。使用的3D模型包括包括平截头体的几何形状,以及从真实对象的实际3D图像数据创建的模型。处理3D捕获的图像数据以找到与3D模型匹配的对象,包括通过归一化相关性进行的处理。一旦定位了对象,系统就会在3D捕获的图像数据中选择距定位对象预定距离的数据点。分析这些数据点以确定适合所选数据点的表面平面,从而在3D捕获图像数据中定位该表面。

著录项

  • 公开/公告号US6539107B1

    专利类型

  • 公开/公告日2003-03-25

    原文格式PDF

  • 申请/专利权人 COGNEX CORPORATION;

    申请/专利号US20000559134

  • 发明设计人 AARON S. WALLACK;DAVID J. MICHAEL;

    申请日2000-04-26

  • 分类号G06K90/00;

  • 国家 US

  • 入库时间 2022-08-22 00:05:23

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