Light field rendering for large-scale scenes

Light field rendering for large-scale scenes
复制标题

大规模场景的光场渲染

DOI:
--
复制
发表时间:
2001
期刊:
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
影响因子:
--
通讯作者:
M. Sakauchi
M. Sakauchi
中科院分区:
--
文献类型:
--
作者:
Hiroshi Kawasaki;K. Ikeuchi;M. Sakauchi

文献摘要

被引文献

相似文献

在本文中,我们提出了一种有效的方法来合成大规模的场景,如广阔的城市景观。到目前为止,主要采用基于模型的方法来实现这一目的,并且已经成功地生成了一些相当令人信服的多边形城市。然而,真实的世界物体的形状通常是非常复杂的,并且现实地建模整个城市是不可行的。另一方面,基于图像的方法最近才被尝试。基于图像的绘制方法对于真实感绘制是有效的,但是其庞大的数据集和交互性的限制给实际应用带来了严重的问题。因此,我们提出了一种混合的方法,它使用简单的形状,如飞机模型的城市,并应用基于图像的技术,以增加现实主义。它可以通过简单的图像捕获过程自动执行。此外,我们还分析了误差与所需图像数量之间的关系,以减少数据量。
In this paper, we present an efficient method to synthesize large-scale scenes, such as broad city landscapes. To date, model based approaches have mainly been adopted for this purpose, and some fairly convincing polygon cities have been successfully generated. However, the shapes of real world objects are usually very complicated and it is infeasible to model an entire city realistically. On the other hand, image based approaches have been attempted only recently. Image based methods are effective for realistic rendering, but their huge data sets and restrictions on interactivity pose serious problems for an actual application. Thus, we propose a hybrid method, which uses simple shapes such as planes to model the city, and applies image based techniques to add realism. It can be performed automatically through a simple image capturing process. Further, we also analyze the relationship between error and number of needed images to reduce the data size.