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首页> 外文期刊>Systems Journal, IEEE >2D-to-3D Visual Human Motion Converting System for Home Optical Motion Capture Tool and 3-D Smart TV
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2D-to-3D Visual Human Motion Converting System for Home Optical Motion Capture Tool and 3-D Smart TV

机译：用于家用光学运动捕捉工具和3D智能电视的2D到3D视觉人体运动转换系统

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摘要

Although 2-D visual human motion analyzers that work with a sequence of images have been widely studied, some consumer electronics equipment, such as home optical motion capture tools and smart TVs, require 3-D motion data. For this purpose, this paper proposes a 2D-to-3D visual human motion converter that reconstructs 3-D visual motion from the 2-D visual human motion in a sequence of images. Because home optical motion capture tools and smart TVs have a single channel, this paper designs a proposed 2D-to-3D converter that has a single channel. A common difficulty for the single channel is that most contemporary 3-D reconstruction processes based on 2-D motion are nonlinear iterative types. For more convenient use in real-time applications, this paper proposes an analytical solution type of 3-D reconstruction process instead of the nonlinear iterative types. To derive an analytical solution, this paper proposes an idea that formulates a human body joint as a 2-D universal joint model instead of the more common 3-D spherical joint models. To overcome the major limitation of analytical solution-type processes, i.e., the low accuracy, this paper formulates the estimation process as an optimization problem. The process thus designed is then applied to each joint in the human body, one after another. Performance evaluation shows that the proposed 2D-to-3D visual human motion converter has nearly the same high accuracy as a contemporary nonlinear iterative-type approach.1.
机译：尽管已经广泛研究了处理一系列图像的2D视觉人体运动分析仪，但是某些消费类电子设备，例如家用光学运动捕捉工具和智能电视，都需要3D运动数据。为此，本文提出了一种2D到3D视觉人体运动转换器，该转换器可在一系列图像中从2D视觉人体运动中重建3D视觉运动。由于家用光学运动捕捉工具和智能电视具有单个通道，因此本文设计了一种建议的具有单个通道的2D到3D转换器。单通道的一个常见困难是，大多数基于2-D运动的当代3-D重建过程都是非线性迭代类型。为了在实时应用中更方便地使用，本文提出了一种3-D重构过程的解析解类型，而不是非线性迭代类型。为了得出分析解决方案，本文提出了一种将人体关节公式化为2-D万向关节模型而不是更常见的3-D球形关节模型的想法。为了克服分析解决方案类型过程的主要局限性，即精度低，本文将估算过程表述为优化问题。然后将如此设计的过程一个接一个地应用于人体的每个关节。性能评估表明，所提出的2D到3D视觉人体运动转换器具有与现代非线性迭代类型方法几乎相同的高精度。

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