Optical splitting trees for high-precision monocular imaging
Optical splitting trees for high-precision monocular imaging
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DOI：
10.1109/mcg.2007.45
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发表时间：
2007-03-01
影响因子：
1.8
通讯作者：
Nayar, Shree K.
中科院分区：
文献类型：
--
作者：
McGuire, Morgan;Matusik, Wojciech;Nayar, Shree K.
在这篇文章中，我们考虑了形成分光树的单目多视点光学系统的设计，其中由于递归分束，光路拓扑呈树形。当需要许多具有特定光谱属性的视图时，设计光学分裂树是具有挑战性的。我们介绍了一种手动设计光学分枝树的范例和一个计算机辅助设计工具来创建高效的分枝树相机。该工具接受每个视图的规范和一组权重作为输入，这些权重描述用户对效率、测量精度和经济性的相对亲和力。然后，优化器搜索最大化这些加权优先级的设计。我们工具的输出是一个拆分树设计，它实现了输入规范并分析了每个根到叶路径的效率。自动设计的树看起来与手动设计的树相当；我们甚至展示了一些它们更优越的情况。在优化器的帮助下，该系统在包含8个传感器的单个可重构相机上实现了高动态范围、对焦、遮片和混合成像
In this article, we consider the design of monocular multiview optical systems that form optical splitting trees, where the optical path topology takes the shape of a tree because of recursive beam splitting. Designing optical splitting trees is challenging when it requires many views with specific spectral properties. We introduce a manual design paradigm for optical splitting trees and a computer-assisted design tool to create efficient splitting-tree cameras. The tool accepts as input a specification for each view and a set of weights describing the user's relative affinity for efficiency, measurement accuracy, and economy. An optimizer then searches for a design that maximizes these weighted priorities. Our tool's output is a splitting-tree design that implements the input specification and an analysis of the efficiency of each root-to-leaf path. Automatically designed trees appear comparable to those designed by hand; we even show some cases where they are superior. With the help of the optimizer, the system demonstrates high dynamic range, focusing, matting, and hybrid imaging implemented on a single, reconfigurable camera containing eight sensors