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/

Zendy Plus

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

Zendy Tools

Zendy Open

We study the challenging problem of estimating the relative pose of threecalibrated cameras from four point correspondences. We propose novel efficientsolutions to this problem that are based on the simple idea of using fourcorrespondences to estimate an approximate geometry of the first two views. Wemodel this geometry either as an affine or a fully perspective geometryestimated using one additional approximate correspondence. We generate such anapproximate correspondence using a very simple and efficient strategy, wherethe new point is the mean point of three corresponding input points. The newsolvers are efficient and easy to implement, since they are based on existingefficient minimal solvers, i.e., the 4-point affine fundamental matrix, thewell-known 5-point relative pose solver, and the P3P solver. Extensiveexperiments on real data show that the proposed solvers, when properly coupledwith local optimization, achieve state-of-the-art results, with the novelsolver based on approximate mean-point correspondences being more robust andaccurate than the affine-based solver.

Practical solutions to the relative pose of three calibrated cameras