看不见的东西Seeing Unseeable
Seeing Unseeability to See the Unseeable
摘要：
我们提出了一个框架，允许观察者确定被遮挡的部分的结构，通过找到最大似然估计的那些被遮挡的部分与可见的图像证据和一致性模型一致。这样做需要首先确定结构的哪些部分被遮挡。由于每一个过程都依赖于另一个过程，因此我们确定了两个问题的解决方案。我们扩展了我们的框架，以确定一个人的评估的置信度，所观察到的结构的哪些部分被遮挡，并估计该遮挡结构，通过确定一个人的评估的敏感性，以潜在的新的观察。我们进一步扩展我们的框架，以确定一个机器人的行动，其执行将允许一个新的观察，将最大限度地增加一个人的信心。
英文摘要：
We present a framework that allows an observer to determine occluded portions of a structure by finding the maximum-likelihood estimate of those occluded portions consistent with visible image evidence and a consistency model. Doing this requires determining which portions of the structure are occluded in the first place. Since each process relies on the other, we determine a solution to both problems in tandem. We extend our framework to determine confidence of one's assessment of which portions of an observed structure are occluded, and the estimate of that occluded structure, by determining the sensitivity of one's assessment to potential new observations. We further extend our framework to determine a robotic action whose execution would allow a new observation that would maximally increase one's confidence.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
