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A system for reconstructing the 3-dimensional motions of a human figure from a monocularly-viewed image sequence

机译:一种用于从单眼观看的图像序列重建人物三维运动的系统

摘要

A system is provided for reconstruction the 3-dimensional motions of a human figure from a monocularly viewed image sequence in which a statistical approach is used coupled with the use of a set of motion capture examples to build a gaussian probability model for short human motion sequences. In a simplified rendering domain, this yields an optimal 3-d estimate of human motion used to create realistic animations given a 2-d temporal sequence. The subject system is also useful to identify which motion modes are difficult to estimate. In one embodiment, a stick figure is overlaid on the input video image to allow manual correction of incorrectly tracked body parts. The utilization of stick figure correction permits manual correction for a more accurate 3-d reconstruction of the motion depicted in the input video sequence. An interactive tracking system processes real video sequences, and achieves good 3-d reconstructions of the human figure motion.
机译:提供一种用于从单眼观看的图像序列重建人物的3维运动的系统,其中使用统计方法,并结合使用一组运动捕捉示例,以建立用于短人类运动序列的高斯概率模型。 。在简化的渲染域中,这会产生人体运动的最佳3D估计值,该估计值用于在给定2D时间序列的情况下创建逼真的动画。主题系统对于识别难以估计的运动模式也是有用的。在一个实施例中,棒形图覆盖在输入视频图像上,以允许手动校正不正确跟踪的身体部位。棒图校正的利用允许手动校正,以对输入视频序列中描绘的运动进行更精确的3-d重建。交互式跟踪系统处理真实的视频序列,并实现人形运动的良好3D重建。

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