1 code implementation • ICCV 2023 • Dror Aiger, André Araujo, Simon Lynen
In this paper, we take a step back from this assumption and propose Constrained Approximate Nearest Neighbors (CANN), a joint solution of k-nearest-neighbors across both the geometry and appearance space using only local features.
1 code implementation • CVPR 2023 • Itai Lang, Dror Aiger, Forrester Cole, Shai Avidan, Michael Rubinstein
Scene flow estimation is a long-standing problem in computer vision, where the goal is to find the 3D motion of a scene from its consecutive observations.
no code implementations • ICCV 2021 • Dror Aiger, Simon Lynen, Jan Hosang, Bernhard Zeisl
Outlier rejection and equivalently inlier set optimization is a key ingredient in numerous applications in computer vision such as filtering point-matches in camera pose estimation or plane and normal estimation in point clouds.
no code implementations • 30 Jun 2019 • Simon Lynen, Bernhard Zeisl, Dror Aiger, Michael Bosse, Joel Hesch, Marc Pollefeys, Roland Siegwart, Torsten Sattler
Our approach spans from offline model building to real-time client-side pose fusion.
no code implementations • 26 Dec 2017 • Dror Aiger, Brett Allen, Aleksey Golovinskiy
We introduce a method to classify imagery using a convo- lutional neural network (CNN) on multi-view image pro- jections.
1 code implementation • Computer Graphics Forum 2014 • Nicolas Mellado, Dror Aiger, Niloy J. Mitra
We present Super 4PCS for global pointcloud registration that is optimal, i. e., runs in linear time (in the number of data points) and is also output sensitive in the complexity of the alignment problem based on the (unknown) overlap across scan pairs.