Real-Time Virtual Viewpoint Generation on the GPU for Scene Navigation

Shanat Kolhatkar, R. Laganière
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引用次数: 8

Abstract

In this paper we present a method for achieving real-time view interpolation in a virtual navigation application that uses a collection of pre-captured panoramic views as a representation of the environment. In this context, viewpoint interpolation is essential to achieve smooth and realistic viewpoint transition while the user is moving from one panorama to another. In this proposed approach, view interpolation is achieved by first computing the optical flow field between a pair of adjacent panoramas. This flow field can then be used by the view morphing algorithm to generate, on-the-fly, virtual viewpoints in-between existing views. Realistic interpolation is obtained by taking into account both scene geometry and color information. To achieve real-time viewpoint interpolation, a GPU implementation of the viewpoint interpolation algorithm has been developed. We ran our algorithm on multiple interior and exterior scenes and we were able to produce smooth and realistic viewpoint transitions by generating virtual views at a rate of more than 300 panoramas per second.
基于GPU的场景导航实时虚拟视点生成
在本文中,我们提出了一种在虚拟导航应用程序中实现实时视图插值的方法,该应用程序使用预先捕获的全景视图集合作为环境的表示。在这种情况下,当用户从一个全景移动到另一个全景时,视点插值对于实现平滑和逼真的视点转换至关重要。在该方法中,首先通过计算一对相邻全景图之间的光流场来实现视图插值。这个流场可以被视图变形算法用来在现有视图之间生成实时的虚拟视点。通过考虑场景几何和颜色信息,获得逼真的插值。为了实现实时的视点插值,开发了一个视点插值算法的GPU实现。我们在多个内部和外部场景上运行我们的算法,我们能够以每秒300多张全景图的速度生成虚拟视图,从而产生平滑和逼真的视点转换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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