IEEE Trans Vis Comput Graph. 2017 Nov;23(11):2463-2473. doi: 10.1109/TVCG.2017.2734427. Epub 2017 Aug 10.
We propose an occlusion compensation method for optical see-through head-mounted displays (OST-HMDs) equipped with a singlelayer transmissive spatial light modulator (SLM), in particular, a liquid crystal display (LCD). Occlusion is an important depth cue for 3D perception, yet realizing it on OST-HMDs is particularly difficult due to the displays' semitransparent nature. A key component for the occlusion support is the SLM-a device that can selectively interfere with light rays passing through it. For example, an LCD is a transmissive SLM that can block or pass incoming light rays by turning pixels black or transparent. A straightforward solution places an LCD in front of an OST-HMD and drives the LCD to block light rays that could pass through rendered virtual objects at the viewpoint. This simple approach is, however, defective due to the depth mismatch between the LCD panel and the virtual objects, leading to blurred occlusion. This led existing OST-HMDs to employ dedicated hardware such as focus optics and multi-stacked SLMs. Contrary to these viable, yet complex and/or computationally expensive solutions, we return to the single-layer LCD approach for the hardware simplicity while maintaining fine occlusion-we compensate for a degraded occlusion area by overlaying a compensation image. We compute the image based on the HMD parameters and the background scene captured by a scene camera. The evaluation demonstrates that the proposed method reduced the occlusion leak error by 61.4% and the occlusion error by 85.7%.
我们提出了一种针对配备单层透射式空间光调制器(SLM)的光学透视头戴式显示器(OST-HMD)的遮挡补偿方法,特别是针对液晶显示器(LCD)。遮挡是三维感知的一个重要深度线索,但由于显示器的半透明性质,在 OST-HMD 上实现它尤其困难。遮挡支持的一个关键组件是 SLM-一种可以选择性地干扰通过它的光线的设备。例如,LCD 是一种透射式 SLM,可以通过将像素变为黑色或透明来阻挡或通过入射光线。一种直接的解决方案是在 OST-HMD 前面放置一个 LCD,并驱动 LCD 阻挡可能通过视点处渲染的虚拟物体的光线。然而,由于 LCD 面板和虚拟物体之间的深度不匹配,这种简单的方法存在缺陷,导致遮挡模糊。这导致现有的 OST-HMD 采用了专用硬件,如聚焦光学器件和多层 SLM。与这些可行但复杂且/或计算成本高的解决方案相反,我们回归到单层 LCD 方法,以获得硬件的简单性,同时保持精细的遮挡-我们通过叠加补偿图像来补偿遮挡区域的劣化。我们根据 HMD 参数和场景相机捕获的背景场景来计算图像。评估表明,所提出的方法将遮挡泄漏误差降低了 61.4%,将遮挡误差降低了 85.7%。