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3-D human motion sensing by artificial retina chips

机译:通过人工视网膜芯片3-D人体运动感测

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The authors aim at capturing 3D human motion from stereo images in real time without any attached markers. Their strategy comprises two tasks: identification of body parts and motion assignment to them. They used a pair of artificial retina chips for implementing stereo vision. They introduced three algorithms. The first algorithm is 3D motion extraction based on optical flow analysis, and they showed its performance with 3D CG. The second algorithm is to localize an image region including a human head by frame subtraction. The final algorithm is to extract the head rotation in depth. They successfully discriminated four kinds of head rotations. To demonstrate the performance, they built a demo system and realized that each rotation could be reflected on a head CG model.
机译:作者旨在实时从立体图像捕获3D人体运动,没有任何附加标记。他们的策略包括两个任务:识别身体部位和运动分配给它们。他们使用了一对人工视网膜芯片来实施立体视觉。他们推出了三种算法。第一算法是基于光学流量分析的3D运动提取,它们显示了3D CG的性能。第二算法是通过帧减法本地化包括人头的图像区域。最终的算法是深入提取头部旋转。他们成功地歧视了四种头部旋转。为了展示性能,它们构建了一个演示系统,并意识到每个旋转都可以反映在头CG模型上。

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