Zobrazeno 1 - 10
of 686
pro vyhledávání: '"Vogel, Christoph"'
Scene coordinate regression (SCR) methods are a family of visual localization methods that directly regress 2D-3D matches for camera pose estimation. They are effective in small-scale scenes but face significant challenges in large-scale scenes that
Externí odkaz:
http://arxiv.org/abs/2406.04340
In this paper we propose an efficient data-driven solution to self-localization within a floorplan. Floorplan data is readily available, long-term persistent and inherently robust to changes in the visual appearance. Our method does not require retra
Externí odkaz:
http://arxiv.org/abs/2403.03370
We present IterMVS, a new data-driven method for high-resolution multi-view stereo. We propose a novel GRU-based estimator that encodes pixel-wise probability distributions of depth in its hidden state. Ingesting multi-scale matching information, our
Externí odkaz:
http://arxiv.org/abs/2112.05126
Autor:
Düzçeker, Arda, Galliani, Silvano, Vogel, Christoph, Speciale, Pablo, Dusmanu, Mihai, Pollefeys, Marc
We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and geometrically plausible way. The bac
Externí odkaz:
http://arxiv.org/abs/2012.02177
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is more suited to
Externí odkaz:
http://arxiv.org/abs/2012.01411