无重投影VR直通

Grace Kuo, Eric Penner, Seth Moczydlowski, Alexander Ching, Douglas Lanman, N. Matsuda
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摘要

虚拟现实(VR)通过使用耳机前面的外部摄像头让用户看到他们的环境。然而,穿透式摄像头不能与用户的眼睛同时放置,因此穿透式图像的视角与用户不戴耳机时看到的视角不同。虽然图像可以通过计算重新投影到期望的视图中,但深度估计的错误和遮挡边界处的信息缺失可能导致不期望的伪影。我们提出了一种新型的计算相机,它可以直接对传感器后面几厘米处进入用户眼睛的光线进行采样。我们的设计包含一组镜头,每个镜头后面都有一个光圈,并且光圈的位置很有策略,只允许所需的光线通过。由此产生的薄而扁平的架构具有适合VR的外形因素,并且图像重建在计算上是轻量级的,可以实现低延迟的透传。我们在一个具有实际校准和实时图像重建功能的全功能双目穿透原型中实验证明了我们的方法。
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Reprojection-Free VR Passthrough
Virtual reality (VR) passthrough uses external cameras on the front of a headset to allow the user to see their environment. However, passthrough cameras cannot physically be co-located with the user’s eyes, so the passthrough images have a different perspective than what the user would see without the headset. Although the images can be computationally reprojected into the desired view, errors in depth estimation and missing information at occlusion boundaries can lead to undesirable artifacts. We propose a novel computational camera that directly samples the rays that would have gone into the user’s eye, several centimeters behind the sensor. Our design contains an array of lenses with an aperture behind each lens, and the apertures are strategically placed to allow through only the desired rays. The resulting thin, flat architecture has suitable form factor for VR, and the image reconstruction is computationally lightweight, enabling low-latency passthrough. We demonstrate our approach experimentally in a fully functional binocular passthrough prototype with practical calibration and real-time image reconstruction.
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