Shape and reflectance from two-bounce light transients

Shape and reflectance from two-bounce light transients
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两次反射光瞬变的形状和反射率

DOI:
10.1109/iccphot.2016.7492882
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发表时间:
2016
期刊:
2016 IEEE International Conference on Computational Photography (ICCP)
影响因子:
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通讯作者:
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan
中科院分区:
--
文献类型:
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作者:
Chia;A. Veeraraghavan;Aswin C. Sankaranarayanan

文献摘要

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计算机视觉和基于图像的推理主要集中在通过假设相机测量直接光传输(即,单反弹光路)来提取场景信息。因此,强烈的多次反弹效应通常被视为噪声源,在许多情况下,这种效应的存在可能会导致形状和反射率的估计出现严重误差。本文为从两跳光瞬变过程中估计形状和反射率提供了理论和算法基础,即光源的光子在到达传感器之前与场景发生两次精确相互作用的场景。我们推导出了在给定与两跳光路相关的长度和强度的情况下精确恢复形状和反射率的充分条件。我们还开发了恢复形状和反射率的算法,并在一系列模拟场景上进行了验证。
Computer vision and image-based inference have predominantly focused on extracting scene information by assuming that the camera measures direct light transport (i.e., single-bounce light paths). As a consequence, strong multi-bounce effects are treated typically as sources of noise and, in many scenarios, the presence of such effects can result in gross errors in the estimates of shape and reflectance. This paper provides the theoretical and algorithmic foundations for shape and reflectance estimation from two-bounce light transients, i.e., scenarios where photons from a light source interact with the scene exactly twice before reaching the sensor We derive sufficient conditions for exact recovery of shape and reflectance given lengths and intensities associated with two-bounce light paths. We also develop algorithms for recovery of shape and reflectance, and validate these on a range of simulated scenes.