1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
Non-Minimal Sampling and Consensus for Prohibitively Large Datasets
Seong Hun Lee, Patrick Vandewalle, Javier Civera
We introduce NONSAC (Non-Minimal Sampling and Consensus), a general framework for robust and scalable model estimation from arbitrarily large datasets contaminated with noise and o…
Raw2Event: Converting Raw Frame Camera into Event Camera
Zijie Ning, Enmin Lin, Sudarshan R. Iyengar +1
Event cameras offer unique advantages such as high temporal resolution, low latency, and high dynamic range, making them more and more popular for vision tasks under challenging li…
P3P Made Easy
Seong Hun Lee, Patrick Vandewalle, Javier Civera
We revisit the classical Perspective-Three-Point (P3P) problem, which aims to recover the absolute pose of a calibrated camera from three 2D-3D correspondences. It has long been kn…
PCR-99: A Practical Method for Point Cloud Registration with 99 Percent Outliers
Seong Hun Lee, Javier Civera, Patrick Vandewalle
We propose a robust method for point cloud registration that can handle both unknown scales and extreme outlier ratios. Our method, dubbed PCR-99, uses a deterministic 3-point samp…