English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We tackle the problem of getting a full 6-DOF pose estimation of a queryimage inside a given point cloud. This technical report re-evaluates thealgorithms proposed by Y. Li et al. "Worldwide Pose Estimation using 3D PointCloud". Our code computes poses from 3 or 4 points, with both known and unknownfocal length. The results can easily be displayed and analyzed with Meshlab. Wefound both advantages and shortcomings of the methods proposed. Furthermore,additional priors and parameters for point selection, RANSAC and pose qualityestimate (inlier test) are proposed and applied.

Robust Large-Scale Localization in 3D Point Clouds Revisited