The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstructions of many scenes, they fail to exploit other structures, such as planes, which are typically the dominant components of indoor scenes. In this paper, we reconstruct planar surfaces from multiple views, while jointly estimating camera pose. Our experiments demonstrate that our method is able to advance the state of the art of reconstruction from sparse views, on challenging scenes from Matterport3D. Project site: https://jinlinyi.github.io/SparsePlanes/
翻译:纸质研究计划从两个角度对室内场景进行表面重建,而两个角度的照相机则不为人知。虽然先前的方法成功地创造了许多场景的以物体为中心的重建,但它们未能利用其他结构,例如飞机,这些结构通常是室内场景的主要组成部分。在本文件中,我们从多个角度对平面进行重建,同时共同估计照相机的姿势。我们的实验表明,我们的方法能够从微小的视角,在Mealport3D的富有挑战性的场景上,推进重建的状态。项目网站:https://jinlinyi.github.io/Sparse Planes/。