论文标题
像素对遮挡关系图（P2orm）：配方，推理和应用
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
论文作者
论文摘要
我们在2D图像（即忽略语义）中围绕几何遮挡形式化了概念，并通过像素对遮挡关系提出了一种新颖的遮挡边界和遮挡方向的统一表述。前者提供了一种生成大规模准确的闭塞数据集的方法，而基于后者，我们为从单个图像中提出了一种新的方法，用于与任务无关的像素级闭塞关系估计。各种数据集的实验表明，我们的方法在此任务上的现有方法优于现有的方法。为了进一步说明我们的配方的价值，我们还提出了一种新的深度图改进方法，该方法一致地提高了最新的单眼深度估计方法的性能。我们的代码和数据可在http://imagine.enpc.fr/~qiux/p2orm/上找到。
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orientations via a pixel-pair occlusion relation. The former provides a way to generate large-scale accurate occlusion datasets while, based on the latter, we propose a novel method for task-independent pixel-level occlusion relationship estimation from single images. Experiments on a variety of datasets demonstrate that our method outperforms existing ones on this task. To further illustrate the value of our formulation, we also propose a new depth map refinement method that consistently improve the performance of state-of-the-art monocular depth estimation methods. Our code and data are available at http://imagine.enpc.fr/~qiux/P2ORM/.
