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Dense Structure and Motion Recovery from Scanning Electron Microscope Image Sequences based on Factorization

机译:基于分解的扫描电子显微镜图像序列的致密结构和运动恢复

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Scanning electron microscopes (SEM) are widely used to analyse the morphology of all kind of specimen providinghigh resolution image data. To overcome the two-dimensional limitation, a lot of effort has been put into the recovery ofthe hidden third dimension based on the acquired SEM images throughout the last decades. Especially methods based onphotogrammetry were identified to yield qualitatively good reconstruction results. Nevertheless, precise quantitative 3Dmeasurements still remain a challenge. One of the key problems is the robust estimation of the motion in the acquiredimage sequences. A possible solution is given by the factorization method for orthographic image streams. To evaluatethe applicability of this algorithm on SEM image sequences, the motion for several sequences is estimated and comparedto the stage settings. Furthermore, the method is extended to obtain a dense reconstruction from a stereo-pair based onthe estimated rotations between the two views. The final reconstruction results are compared to reference measurementswith a confocal laser scanning microscope for a quantitative evaluation.
机译:扫描电子显微镜(SEM)被广泛用于分析提供的各种标本的形态 高分辨率图像数据。为了克服二维限制,已经为恢复三维图像付出了很多努力。 根据过去几十年来获取的SEM图像隐藏的三维。特别是基于 摄影测量法被鉴定以产生定性良好的重建结果。尽管如此,精确的定量3D 测量仍然是一个挑战。关键问题之一是对采集到的运动的鲁棒估计 图像序列。正交图像流的分解方法给出了可能的解决方案。评估 该算法在SEM图像序列上的适用性,估计并比较了多个序列的运动 到舞台设置。此外,该方法被扩展为基于立体声对从立体声对获得密集的重建。 这两个视图之间的估计旋转。将最终的重建结果与参考测量值进行比较 用共聚焦激光扫描显微镜进行定量评估。

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