论文标题
新颖的3D场景理解单个图像中复发的应用
Novel 3D Scene Understanding Applications From Recurrence in a Single Image
论文作者
论文摘要
我们从单个图像中演示了重复的模式发现的实用性，以通过（1）消失点检测，（2）假设3D翻译对称性和（3）计算图像中的RP实例数。 此外，我们说明了利用RP Discovery输出以形成场景的更精确，定量的文本描述的可行性。我们对新的1K+重复模式（RP）基准具有不同变化的定量评估表明，从一个单一视图中对复发的视觉感知会导致场景理解与现有的监督方法和/或无需使用的方法一样好或更好。
We demonstrate the utility of recurring pattern discovery from a single image for spatial understanding of a 3D scene in terms of (1) vanishing point detection, (2) hypothesizing 3D translation symmetry and (3) counting the number of RP instances in the image. Furthermore, we illustrate the feasibility of leveraging RP discovery output to form a more precise, quantitative text description of the scene. Our quantitative evaluations on a new 1K+ Recurring Pattern (RP) benchmark with diverse variations show that visual perception of recurrence from one single view leads to scene understanding outcomes that are as good as or better than existing supervised methods and/or unsupervised methods that use millions of images.
