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首页> 外文期刊>Methods in Ecology and Evolution >A quick, easy and non-intrusive method for underwater volume and surface area evaluation of benthic organisms by 3D computer modelling
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A quick, easy and non-intrusive method for underwater volume and surface area evaluation of benthic organisms by 3D computer modelling

机译:通过3D计算机建模对底栖生物进行水下体积和表面积评估的快速,简便且非侵入性的方法

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In order to understand physiological, ecological and biological processes, it is often crucial to determine an organism's volume and surface area (SA). Most of the available methods require sacrificing the organism or at least removing it from its natural habitat, in order to measure these parameters. Advances in computer vision algorithms now allow us to determine these parameters using non-destructive, three-dimensional modelling. The addition of cloud computing and the availability of freeware make this tool widely accessible. Photographs of corals and sponges were taken in natura and used to create digital 3D models using the structure-from-motion' technique. Modelling was done online using 123D Catch freeware (Autodesk Inc.). Volume and SA of the corals and sponges were calculated from these 3D models. Comparing in situ 3D modelling to current measuring methods (e.g. water displacement, paraffin dipping) showed that volume calculation by 3D modelling gave fast results accurate to within 8% of estimated true volume. Using cloud computing enabled the creation of a 3D model in <30min. SA accuracy was found to differ significantly, depending on the shape of the modelled object, with an accuracy ranging widely from 2% to 18%. We found that in situ volume and SA measurements created by 3D modelling enable easy, fast and non-intrusive studies of benthic aquatic organisms, without removing the subject organisms from their habitat, thus enabling continuous study of natural growth over extended time periods. The freely available freeware, along with ease of use, makes this method accessible to many areas of research.
机译:为了了解生理,生态和生物过程,确定生物体的体积和表面积(SA)通常至关重要。为了测量这些参数,大多数可用方法都需要牺牲生物或至少将其从自然栖息地中删除。现在,计算机视觉算法的进步使我们能够使用非破坏性的三维建模来确定这些参数。云计算的添加和免费软件的可用性使该工具可广泛访问。在自然界中拍摄了珊瑚和海绵的照片,并使用“从动结构”技术将其用于创建数字3D模型。使用123D Catch免费软件(Autodesk Inc.)在线进行建模。根据这些3D模型计算出珊瑚和海绵的体积和SA。将原位3D建模与当前的测量方法(例如,水驱替,石蜡浸渍)进行比较显示,通过3D建模进行体积计算可以快速得出准确的结果,精确到估计真实体积的8%之内。使用云计算可以在不到30分钟的时间内创建3D模型。发现SA精度差异很大,具体取决于建模对象的形状,精度范围从2%到18%不等。我们发现,通过3D建模创建的原位体积和SA测量值可以对底栖水生生物进行简单,快速和非侵入性的研究,而无需将其从栖息地中移出,从而可以在更长的时间内连续研究自然生长。免费提供的免费软件以及易用性使该方法可用于许多研究领域。

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