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Intercomparison of photogrammetry software for three-dimensional vegetation modelling

机译:用于三维植被建模的摄影测量软件的比对

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Photogrammetry-based three-dimensional reconstruction of objects is becoming increasingly appealing in research areas unrelated to computer vision. It has the potential to facilitate the assessment of forest inventory-related parameters by enabling or expediting resource measurements in the field. We hereby compare several implementations of photogrammetric algorithms (CMVS/PMVS, CMPMVS, MVE, OpenMVS, SURE and Agisoft PhotoScan) with respect to their performance in vegetation assessment. The evaluation is based on (i) a virtual scene where the precise location and dimensionality of objects is known a priori and is thus conducive to a quantitative comparison and (ii) using series of in situ acquired photographs of vegetation with overlapping field of view where the photogrammetric outcomes are compared qualitatively. Performance is quantified by computing receiver operating characteristic curves that summarize the type-I and type-II errors between the reference and reconstructed tree models. Similar artefacts are observed in synthetic- and in situ -based reconstructions.
机译:在与计算机视觉无关的研究领域中,基于摄影测量的对象三维重建正变得越来越有吸引力。它有可能通过启用或加快实地资源测量来促进与森林清单相关参数的评估。我们在此比较摄影测量算法(CMVS / PMVS,CMPMVS,MVE,OpenMVS,SURE和Agisoft PhotoScan)的几种实现方式,以评估它们在植被评估中的性能。评估基于(i)先验已知物体的精确位置和尺寸并因此有助于进行定量比较的虚拟场景,以及(ii)使用一系列具有重叠视场的植被原位拍摄照片,其中对摄影测量结果进行定性比较。通过计算接收器工作特性曲线来量化性能,该特性总结了参考树模型和重构树模型之间的I型和II型误差。在基于合成和原位的重建中观察到类似的伪像。

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