为基于图像的街道演练捕获配置

Dong Hoon Lee, Soon Ki Jung
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引用次数: 5

摘要

在虚拟环境中进行演练时,基于图像的渲染比基于几何的方法有很多优势,因为环境的快速构建和逼真的渲染结果等。然而,由于光场方法仅限于封闭的空间,因此不能直接应用于大型复杂的街道环境。因此,本文提出了一种基于图像的渲染方法,该方法可以处理大规模场景,从而允许使用光场风格渲染的街道行走。首先,在前面工作的基础上描述了捕获配置问题。然后给出了一种有效的图像序列采样配置,并通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capture configuration for image-based street walkthroughs
Image-based rendering for walkthroughs in a virtual environment has many advantages over a geometry-based approach, due to the fast construction of the environment and, photo-realistic rendered results, etc. However, since light field approaches are limited to a closed space, they cannot be directly applied to large and complex street environments. Accordingly, the current paper, presents an image-based rendering method that can handle a large-scale scene, thereby, allowing street walkthroughs with light field style rendering. First, the problem of capture configuration is described based on the previous work. Then an efficient sampling configuration of image sequences is presented, and the efficiency of the proposed method demonstrated with several experiments.
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