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Real time tracking of borescope tip pose

机译:实时跟踪内窥镜尖端姿势

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In this paper we present a technique for tracking borescope tip pose in real-time. While borescopes are used regularly to inspect machinery for wear or damage, knowing the exact location of a borescope is difficult due to its flexibility. We present a technique for incremental borescope pose determination consisting of off line feature extraction and on-line pose determination. The off line feature extraction precomputes from a CAD model of the object the features visible in a selected set of views. These cover the region over which the borescope should travel. The on-line pose determination starts from a current pose estimate. determines the visible model features, and projects them into a two--dimensional image coordinate system. It then matches each to the current borescope video image (without explicitly extracting features from this image), and uses the differences between the predicted and matched feature positions in a least squares technique to iteratively refine the pose estimate. Our approach supports the mixed use of both matched feature positions and errors along the gradient within the pose determination. It handles radial lens distortions inherent in borescopes and executes at video frame rates regardless of CAD model size. The complete algorithm provides a continual indication of borescope tip pose.
机译:在本文中,我们提出了一种实时跟踪管道镜尖端姿态的技术。尽管经常使用管道镜来检查机器的磨损或损坏,但由于其灵活性,很难知道管道镜的确切位置。我们提出了一种增量管道镜姿态确定技术,包括离线特征提取和在线姿态确定。离线特征提取从对象的CAD模型中预先计算在一组选定视图中可见的特征。这些覆盖管道镜应行进的区域。在线姿态确定从当前姿态估计开始。确定可见的模型特征,并将其投影到二维图像坐标系中。然后,将它们与当前的管道镜视频图像进行匹配(无需从该图像中显式提取特征),并使用最小二乘法使用预测的特征位置和匹配的特征位置之间的差异来迭代地优化姿态估计。我们的方法支持在姿势确定中混合使用匹配的特征位置和沿梯度的误差。它可以处理内窥镜固有的径向透镜畸变,并以视频帧速率执行,而与CAD模型的尺寸无关。完整的算法可连续指示管道镜的尖端姿态。

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