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

Patchmatch based stereo is an efficient method for stereo computation, and also has been extent to multiple-view stereo recently. In this paper we extend the two-view patchmatch stereo to multiple-views in the multiple-view stereo pipeline. The key of the proposed method is to first select multiple suitable neighboring images for a reference image and then combine them under the patchmatch stereo framework. Experimental results on benchmark data sets demonstrate the accuracy and efficiency of the proposed method.

Combining Multiple Images to Improve PatchMatch Stereo