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 study challenging problems of estimating the relative pose of threecameras and propose novel efficient solutions to (1) the notoriously difficultconfiguration of four points in three calibrated views, known as the 4p3vproblem, and (2) to the previously unsolved configuration of four points inthree cameras with unknown shared focal length, i.e., the 4p3vf problem. Oursolutions are based on the simple idea of generating one or two additionalvirtual point correspondences in two views by using the information from thelocations of the four input correspondences in the three views. We generatesuch correspondences using either a very simple and efficient strategy wherethe new points are the mean points of three corresponding input points or usinga simple neural network. The new solvers are efficient and easy to implementsince they are based on existing efficient minimal solvers, i.e., thewell-known 5-point and 6-point relative pose solvers and the P3P solver. Oursolvers achieve state-of-the-art results on real data.

Relative pose of three calibrated and partially calibrated cameras from four points using virtual correspondences