• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Machine Vision Applications in Industrial Inspection XIV; Electronic Imaging Science and Technology >Real-time detection of elliptic shapes for automated object recognition and object tracking
【24h】

Real-time detection of elliptic shapes for automated object recognition and object tracking

机译：实时检测椭圆形状以自动识别和跟踪物体

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The detection of varying 2D shapes is a recurrent task for Computer Vision applications, and camera based object recognition has become a standard procedure. Due to the discrete nature of digital images and aliasing effects, shape recognition can be complicated. There are many existing algorithms that discuss the identification of circles and ellipses, but they are very often limited in flexibility or speed or require high quality input data. Our work considers the application of shape recognition for processes in industrial environments and, especially the automatization requires reliable and fast algorithms at the same time. We take a very practical look at the automated shape recognition for common industrial tasks and present a very fast novel approach for the detection of deformed shapes which are in the broadest sense elliptic. Furthermore, we consider the automated recognition of bacteria colonies and coded markers for both 3D object tracking and an automated camera calibration procedure.
机译：对于计算机视觉应用程序来说，不断变化的2D形状的检测是一项经常性的任务，基于摄像机的对象识别已成为一种标准程序。由于数字图像的离散性和混叠效果，形状识别可能会很复杂。现有许多讨论圆和椭圆标识的算法，但是它们通常在灵活性或速度上受到限制，或者需要高质量的输入数据。我们的工作考虑了形状识别在工业环境中的过程中的应用，尤其是自动化需要同时可靠且快速的算法。我们非常实用地介绍了用于常见工业任务的自动形状识别，并提出了一种非常快速的新颖方法来检测广义上为椭圆形的变形形状。此外，我们考虑针对3D对象跟踪和自动相机校准程序自动识别细菌菌落和编码标记。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号