7 citations · 17 across the 5 of their papers we have counts for
5 papers · 1 filter
Consensus-Adaptive RANSAC
Luca Cavalli, Daniel Barath, Marc Pollefeys +1
RANSAC and its variants are widely used for robust estimation, however, they commonly follow a greedy approach to finding the highest scoring model while ignoring other model hypot…
3D Line Mapping Revisited
Shaohui Liu, Yifan Yu, Rémi Pautrat +2
In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to o…
Revisiting Rotation Averaging: Uncertainties and Robust Losses
Ganlin Zhang, Viktor Larsson, Daniel Barath
In this paper, we revisit the rotation averaging problem applied in global Structure-from-Motion pipelines. We argue that the main problem of current methods is the minimized cost…
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Zihan Zhu, Songyou Peng, Viktor Larsson +4
Neural implicit representations have recently become popular in simultaneous localization and mapping (SLAM), especially in dense visual SLAM. However, previous works in this direc…
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
Zihan Zhu, Songyou Peng, Viktor Larsson +5
Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Neverthele…