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Three-dimensional reconstruction and characterization of human external shapes from two-dimensional images using volumetric methods

机译:使用体积法从二维图像对人的外部形状进行三维重建和表征

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摘要

This work presents a volumetric approach to reconstruct and characterise 3D models of external anatomical structures from 2D images. Volumetric methods represent the final volume using a finite set of 3D geometric primitives, usually designed as voxels. Thus, from an image sequence acquired around the object to reconstruct, the images are calibrated and the 3D models of the referred object are built using different approaches of volumetric methods. The final goal is to analyse the accuracy of the obtained models when modifying some of the parameters of the considered volumetric methods, such as the type of voxel projection (rectangular or accurate), the way the consistency of the voxels is tested (only silhouettes or silhouettes and photo-consistency) and the initial size of the reconstructed volume.
机译:这项工作提出了一种从2D图像重建和表征外部解剖结构的3D模型的容积方法。体积方法使用有限的3D几何图元集(通常设计为体素)来表示最终体积。因此,根据在对象周围获取的要重建的图像序列,可以对图像进行校准,并使用体积方法的不同方法来构建参照对象的3D模型。最终目标是在修改所考虑的体积方法的某些参数时分析所获得模型的准确性,例如体素投影的类型(矩形或精确),测试体素一致性的方式(仅轮廓图或轮廓和光一致性)以及重建体积的初始大小。

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