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Found 6 papers, 3 papers with code
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
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.
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
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.
Efficient Large Scale Inlier Voting for Geometric Vision Problems
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.
Large-scale, real-time visual-inertial localization revisited
Our approach spans from offline model building to real-time client-side pose fusion.
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN
We introduce a method to classify imagery using a convo- lutional neural network (CNN) on multi-view image pro- jections.
Super 4PCS Fast Global Pointcloud Registration via Smart Indexing
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.
