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Modelling 3D Humans From Uncalibrated Wide Baseline Views

机译:从未校准的广泛基线视图建模3D人类

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In order to achieve highly precise, accurate and reliable tracking of humans, a 3D human model that is very similar to the targeted subject is needed. In this paper, we present a new method to precisely construct the external shape of the whole human body. In this work, we make use of a set of images of the subject seen in stanza position from different views, and a regular generic anthropometrical 3D model. The specific 3D model is obtained by the deformation of the generic one controlled by the set of images. We developed a two-stage iterative technique that makes use of human shape characteristic points and limb outlines that work together with the generic 3D model to yield our final customized 3D model. The first stage is an iterative camera pose calibration and 3D characteristic point reconstruction-deformation algorithm that gives us an initial customized 3D model. The second stage refines the initial customized 3D model by de-formation via the silhouette limbs information. From our results, we demonstrate that our system is able to construct a good quality human model.
机译:为了实现高精度,准确可靠的人类跟踪,需要与目标受试者非常相似的3D人体模型。在本文中,我们提出了一种精确构建整个人体的外形的新方法。在这项工作中,我们利用来自不同视图的斯坦加位置的一组主题的图像,以及常规通用人力化3D模型。通过由一组图像控制的通用变形来获得特定的3D模型。我们开发了一种两级迭代技术,利用人形特征点和肢体轮廓,与通用3D模型一起使用,以产生我们最终定制的3D模型。第一阶段是迭代相机姿势校准和3D特征点重建 - 变形算法,其给我们初始定制的3D模型。第二阶段通过轮廓肢体信息通过去形成来改进初始定制的3D模型。从我们的结果中,我们证明我们的系统能够构建一个优质的人类模型。

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