activity
20182020
most citedRGB-D Odometry and SLAM

11 citations · 17 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CV2020

Rotation-Only Bundle Adjustment

Seong Hun Lee, Javier Civera

We propose a novel method for estimating the global rotations of the cameras independently of their positions and the scene structure. When two calibrated cameras observe five or m…

cs.CV20206 cited

Robust Uncertainty-Aware Multiview Triangulation

Seong Hun Lee, Javier Civera

We propose a robust and efficient method for multiview triangulation and uncertainty estimation. Our contribution is threefold: First, we propose an outlier rejection scheme using…

cs.CV2020

Geometric Interpretations of the Normalized Epipolar Error

Seong Hun Lee, Javier Civera

In this work, we provide geometric interpretations of the normalized epipolar error. Most notably, we show that it is directly related to the following quantities: (1) the shortest…

cs.CV2020

Robust Single Rotation Averaging

Seong Hun Lee, Javier Civera

We propose a novel method for single rotation averaging using the Weiszfeld algorithm. Our contribution is threefold: First, we propose a robust initialization based on the element…

cs.CV202011 cited

RGB-D Odometry and SLAM

Javier Civera, Seong Hun Lee

The emergence of modern RGB-D sensors had a significant impact in many application fields, including robotics, augmented reality (AR) and 3D scanning. They are low-cost, low-power…

cs.CV2019

Triangulation: Why Optimize?

Seong Hun Lee, Javier Civera

For decades, it has been widely accepted that the gold standard for two-view triangulation is to minimize the cost based on reprojection errors. In this work, we challenge this ide…