Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Aiger, Dror"'
Large-scale visual localization systems continue to rely on 3D point clouds built from image collections using structure-from-motion. While the 3D points in these models are represented using local image features, directly matching a query image's lo
Externí odkaz:
http://arxiv.org/abs/2306.09012
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 appr
Externí odkaz:
http://arxiv.org/abs/2211.14020
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 ex
Externí odkaz:
http://arxiv.org/abs/2107.11810
We design an efficient data structure for computing a suitably defined approximate depth of any query point in the arrangement $\mathcal{A}(S)$ of a collection $S$ of $n$ halfplanes or triangles in the plane or of halfspaces or simplices in higher di
Externí odkaz:
http://arxiv.org/abs/2006.12318
An $\epsilon$-approximate incidence between a point and some geometric object (line, circle, plane, sphere) occurs when the point and the object lie at distance at most $\epsilon$ from each other. Given a set of points and a set of objects, computing
Externí odkaz:
http://arxiv.org/abs/2005.08193
Autor:
Lynen, Simon, Zeisl, Bernhard, Aiger, Dror, Bosse, Michael, Hesch, Joel, Pollefeys, Marc, Siegwart, Roland, Sattler, Torsten
The overarching goals in image-based localization are scale, robustness and speed. In recent years, approaches based on local features and sparse 3D point-cloud models have both dominated the benchmarks and seen successful realworld deployment. They
Externí odkaz:
http://arxiv.org/abs/1907.00338
We consider the classical camera pose estimation problem that arises in many computer vision applications, in which we are given n 2D-3D correspondences between points in the scene and points in the camera image (some of which are incorrect associati
Externí odkaz:
http://arxiv.org/abs/1903.07047
We introduce a method to classify imagery using a convo- lutional neural network (CNN) on multi-view image pro- jections. The power of our method comes from using pro- jections of multiple images at multiple depth planes near the reconstructed surfac
Externí odkaz:
http://arxiv.org/abs/1712.09216
Autor:
Aiger, Dror, Sharir, Micha
We consider problems involving rich homotheties in a set S of n points in the plane (that is, homotheties that map many points of S to other points of S). By reducing these problems to incidence problems involving points and lines in R^3, we are able
Externí odkaz:
http://arxiv.org/abs/1709.02933
