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Realtime Reconstruction of an Animating Human Body from a Single Depth Camera

机译:从单深度摄像机实时重建动画人体

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We present a method for realtime reconstruction of an animating human body,which produces a sequence of deforming meshes representing a given performance captured by a single commodity depth camera. We achieve realtime single-view mesh completion by enhancing the parameterized SCAPE model.Our method, which we call Realtime SCAPE, performs full-body reconstruction without the use of markers.In Realtime SCAPE, estimations of body shape parameters and pose parameters, needed for reconstruction, are decoupled. Intrinsic body shape is first precomputed for a given subject, by determining shape parameters with the aid of a body shape database. Subsequently, per-frame pose parameter estimation is performed by means of linear blending skinning (LBS); the problem is decomposed into separately finding skinning weights and transformations. The skinning weights are also determined offline from the body shape database,reducing online reconstruction to simply finding the transformations in LBS. Doing so is formulated as a linear variational problem;carefully designed constraints are used to impose temporal coherence and alleviate artifacts. Experiments demonstrate that our method can produce full-body mesh sequences with high fidelity.
机译:我们提出了一种动画人体的实时重建方法,该方法产生一系列变形网格,这些网格代表由单个商品深度相机捕获的给定性能。通过增强参数化的SCAPE模型,我们实现了实时单视图网格的完成。我们的方法称为Realtime SCAPE,无需使用标记即可执行全身重建。在实时SCAPE中,需要进行人体形状参数和姿势参数的估计重建,解耦。首先通过借助体形数据库确定体形参数,为给定对象预先计算本征体形。随后,通过线性混合蒙皮(LBS)进行每帧姿态参数估计;问题被分解为分别寻找蒙皮权重和变换。还可以从身体形状数据库中离线确定换肤权重,从而减少了在线重建过程,从而可以简单地找到LBS中的变换。这样做被表述为线性变分问题;精心设计的约束条件用于施加时间连贯性并减轻伪影。实验证明我们的方法可以产生高保真度的全身网格序列。

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