...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Computers >Shape-Matching Model Optimization Using Discrete-point Sampling and Feature Salience
【24h】

Shape-Matching Model Optimization Using Discrete-point Sampling and Feature Salience

机译：采用离散点采样的形状匹配模型优化，赋予姿势

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

—The component classification and potential fault region locating in the full-automatic inspection system of a freight train require a computer vision method with the ability of classifying quickly and locating precisely, addressing anti-nonlinear deformations, and being able to perform extensible learning. Inspired by these requirements, this paper specifically optimizes the three elements of a shape-matching model, including the scene map, the shape template, and the matching. Our method uses a discretepoint sampling map (DPSM) as an intermediate representation, to enhance the stability of the scene maps, uses the criterion function based on feature salience to select a better shape-template group, and matches hand-sketches with regions in DPSMs to reduce the difficulty of the matching calculation. Based on our optimized shapematching model, we set up a new procedure for component classifications and potential fault region locating in the fullautomatic inspection system for freight trains, which has been applied successfully on more than 10 parts of freight train cars in the railway for more than 2 years. The results of anti-noise testing in laboratory and daily operation at several inspecting stations show that our method has a strong ability to survive with nonlinear deformations, and has a good extensibility to be used with different parts, which meet application demands for the full-automatic inspection system.
机译：- 运费全自动检测系统中定位的组件分类和潜在故障区域需要一种计算机视觉方法，能够快速分类，精确地定位，寻址防抗非线性变形，并能够执行可扩展学习。本文灵感来自这些要求，本文具体优化了形状匹配模型的三个元素，包括场景地图，形状模板和匹配。我们的方法使用SolcetePopT采样映射映射（DPSM）作为中间表示，以增强场景映射的稳定性，使用基于特征Paritience的标准功能来选择更好的形状模板组，并将手写与DPSMS中的区域匹配减少匹配计算的难度。基于我们的优化形状模型，我们为运费中的全自动检测系统中定位的组件分类和潜在故障区域设置了新的程序，这已成功应用于铁路的10多个货车汽车以上2年。在几个检查站的实验室和日常操作中抗噪声测试结果表明，我们的方法具有强大的生存能力，具有非线性变形的良好能力，并且具有良好的可扩展性，可以与不同的部分一起使用，这符合全面的应用需求自动检测系统。

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