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Depth Acquisition from Density Modulated Binary Patterns

机译:密度调制二值模式的深度采集

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This paper proposes novel density modulated binary patterns for depth acquisition. Similar to Kinect, the illumination patterns do not need a projector for generation and can be emitted by infrared lasers and diffraction gratings. Our key idea is to use the density of light spots in the patterns to carry phase information. Two technical problems are addressed here. First, we propose an algorithm to design the patterns to carry more phase information without compromising the depth reconstruction from a single captured image as with Kinect. Second, since the carried phase is not strictly sinusoidal, the depth reconstructed from the phase contains a systematic error. We further propose a pixel-based phase matching algorithm to reduce the error. Experimental results show that the depth quality can be greatly improved using the phase carried by the density of light spots. Furthermore, our scheme can achieve 20 fps depth reconstruction with GPU assistance.
机译:本文提出了用于深度采集的新型密度调制二进制模式。与Kinect相似,照明图案不需要投影仪即可生成,并且可以由红外激光和衍射光栅发出。我们的关键思想是利用图案中光点的密度来承载相位信息。这里解决了两个技术问题。首先,我们提出一种算法来设计模式,以携带更多的相位信息,而不会像Kinect那样损害单个捕获图像的深度重建。其次,由于所携带的相位不是严格的正弦波,因此从相位重建的深度会产生系统误差。我们进一步提出了一种基于像素的相位匹配算法来减少误差。实验结果表明,利用光斑密度所承载的相位可以大大提高深度质量。此外,我们的方案可以在GPU辅助下实现20 fps的深度重建。

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