3 accepted papers
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. Recently, there have been efforts to compute the scene flow from 3D point clouds. A common approach is to train a regression model that consumes…
Large-scale visual localization systems continue to relyon 3D point clouds built from image collections usingstructure-from-motion. While the 3D points in these modelsare represented using local image features, directly match-ing a query image's local features against the point cloud ischallenging d…
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. Several approaches exist, yet at large scale we face a combinatorial ex…