Unstructured Light Fields
Unstructured Light Fields
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DOI：
10.1111/j.1467-8659.2012.03009.x
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发表时间：
2012-05
影响因子：
2.5
通讯作者：
A. Davis;M. Levoy;F. Durand
中科院分区：
文献类型：
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作者：
A. Davis;M. Levoy;F. Durand
我们提出了一种使用手持商品相机交互获取和渲染光场的系统。我们解决的主要挑战是帮助用户实现4D域的良好覆盖，尽管手持式获取存在挑战。我们通过限定视点之间的重新投影误差来定义覆盖范围，该误差占光场的所有4个维度。我们使用这一准则和最近的同步定位和映射技术来计算视点空间上的覆盖图。我们为用户提供实时反馈，并将他们引导到光场中采样不足的部分。我们的系统重量很轻，可以捕获数百个光场。我们进一步提出了一种新的渲染算法，该算法是针对我们捕获的非结构化但密集的数据量身定做的。我们的方法可以使用捕获的视点的三角剖分和应用于重建权重的细分规则来实现分段双三次重建。
We present a system for interactively acquiring and rendering light fields using a hand‐held commodity camera. The main challenge we address is assisting a user in achieving good coverage of the 4D domain despite the challenges of hand‐held acquisition. We define coverage by bounding reprojection error between viewpoints, which accounts for all 4 dimensions of the light field. We use this criterion together with a recent Simultaneous Localization and Mapping technique to compute a coverage map on the space of viewpoints. We provide users with real‐time feedback and direct them toward under‐sampled parts of the light field. Our system is lightweight and has allowed us to capture hundreds of light fields. We further present a new rendering algorithm that is tailored to the unstructured yet dense data we capture. Our method can achieve piecewise‐bicubic reconstruction using a triangulation of the captured viewpoints and subdivision rules applied to reconstruction weights.