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Calibrated depth and color cameras for accurate 3D interaction in a stereoscopic augmented reality environment

机译:经过校准的深度和彩色相机,可在立体增强现实环境中进行精确的3D交互

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摘要

A Human-machine interaction system requires precise information about the user's body position, in order to allow a natural 3D interaction in stereoscopic augmented reality environments, where real and virtual objects should coherently coexist. The diffusion of RGB-D sensors seems to provide an effective solution to such a problem. Nevertheless, the interaction with stereoscopic 3D environments, in particular in peripersonal space, requires a higher degree of precision. To this end, a reliable calibration of such sensors and an accurate estimation of the relative pose of different RGB-D and visualization devices are crucial. Here, robust and straightforward procedures to calibrate a RGB-D camera, to improve the accuracy of its 3D measurements, and to co-register different calibrated devices are proposed. Quantitative measures validate the proposed approach. Moreover, calibrated devices have been used in an augmented reality system, based on a dynamic stereoscopic rendering technique that needs accurate information about the observer's eyes position.
机译:人机交互系统需要有关用户身体位置的精确信息,以便在立体增强现实环境中实现自然3D交互,在该环境中,真实对象和虚拟对象应连贯地共存。 RGB-D传感器的扩散似乎为解决这一问题提供了有效的解决方案。然而,与立体3D环境(尤其是在人身空间中)的交互需要更高的精度。为此,至关重要的是这种传感器的可靠校准以及不同RGB-D和可视化设备相对姿势的准确估计。在此,提出了一种鲁棒而简单的程序来校准RGB-D相机,提高其3D测量的准确性以及共同注册不同的校准设备。定量措施验证了所提出的方法。此外,基于动态立体渲染技术的增强现实系统中需要使用经过校准的设备,该技术需要有关观察者眼睛位置的准确信息。

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