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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, we propose a dense depth estimation pipeline for multiview360{\deg} images. The proposed pipeline leverages a spherical camera model thatcompensates for radial distortion in 360{\deg} images. The key contribution ofthis paper is the extension of a spherical camera model to multiview byintroducing a translation scaling scheme. Moreover, we propose an effectivedense depth estimation method by setting virtual depth and minimizing photonicreprojection error. We validate the performance of the proposed pipeline usingthe images of natural scenes as well as the synthesized dataset for quantitiveevaluation. The experimental results verify that the proposed pipeline improvesestimation accuracy compared to the current state-of-art dense depth estimationmethods.

Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth