Optimized image sampling for view and light interpolation

Optimized image sampling for view and light interpolation
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针对视图和光插值优化图像采样

DOI:
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发表时间:
2009
期刊:
IEEE Conference on Visual Analytics Science and Technology
影响因子:
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通讯作者:
T. Malzbender
T. Malzbender
中科院分区:
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文献类型:
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作者:
P. Gunawardane;Oliver Wang;Steve Scher;Ian Rickard;James Davis;T. Malzbender

文献摘要

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真实的世界物体的精确虚拟重建一直是基于图像的计算机图形学的期望目标。通常,这涉及到一个漫长的捕捉过程,其中从不同的视角和照明条件拍摄对象。使用这个输入图像的集合,我们现在可以从任何视角或照明条件重新渲染对象。然而,获取照明和视图空间的密集采样是耗时的。我们对这种结合的照明和视图空间进行分析,以找到最佳的采样给定一个有限的图像预算。我们还分析了插值的顺序,并发现,改善的结果是通过插值的第一个在视点和第二个在照明,通常的顺序相反。
Accurate virtual reconstruction of real world objects has long been a desired goal of image-based computer graphics. Usually this involves a lengthy capture process where an object is photographed from different viewpoints and illumination conditions. Using this collection of input images, we can now re-render the object from any viewing angle or lighting condition. However, acquiring a dense sampling of both the lighting and view space is time consuming. We carry out an analysis on this combined lighting and view space to find the optimal sampling given a restricted image budget. We also analyze the order of interpolation and find that improved results are obtained by interpolating first in viewpoint and second in lighting, the reverse of the usual order.