Real-Time Rendering of Multi-View Images from a Single Image with Depth

Kyoungsu Oh, Hyowon Kim, Chulhan Lee, Hyunwoo Ki
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引用次数: 1

Abstract

Image reprojection is a technique to generate novel images by projecting a reference image of an arbitrary view. Previous image reprojection methods often run on the CPU, but these approaches take high-cost for rendering. We present a real-time image reprojection method using the GPU entirely. From given a reference image and its depth image of the scene prerendered, we generate novel images at arbitrary view points without the original geometry data. We render a simple plane at a novel view, and for each pixel being rendered, we make a ray that faces the opposite direction of the view. Then, we transform the ray to reference image space and trace the ray through a depth image to find an intersection, using a recently proposed method. In our experience, we archived tens of frames per second and it was independent from the complexity of the scene.
从具有深度的单个图像中实时渲染多视图图像
图像重投影是一种通过投影任意视图的参考图像来生成新图像的技术。以前的图像重投影方法通常在CPU上运行,但这些方法的渲染成本很高。我们提出了一种完全利用GPU的实时图像重投影方法。从给定的参考图像及其预先渲染的场景深度图像中,在不需要原始几何数据的情况下,在任意视点生成新的图像。我们在一个新的视图中渲染一个简单的平面,并且对于每个被渲染的像素,我们制作一个面向视图相反方向的光线。然后,我们将光线转换到参考图像空间,并通过深度图像跟踪光线以找到交集,使用最近提出的方法。根据我们的经验,我们每秒存档数十帧,并且它与场景的复杂性无关。
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