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

In this paper we present a novel slanted-plane MRF model which reasonsjointly about occlusion boundaries as well as depth. We formulate the problemas the one of inference in a hybrid MRF composed of both continuous (i.e.,slanted 3D planes) and discrete (i.e., occlusion boundaries) random variables.This allows us to define potentials encoding the ownership of the pixels thatcompose the boundary between segments, as well as potentials encoding whichjunctions are physically possible. Our approach outperforms thestate-of-the-art on Middlebury high resolution imagery as well as in the morechallenging KITTI dataset, while being more efficient than existing slantedplane MRF-based methods, taking on average 2 minutes to perform inference onhigh resolution imagery.

Continuous Markov Random Fields for Robust Stereo Estimation