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 present SplitFusion, a novel dense RGB-D SLAM framework thatsimultaneously performs tracking and dense reconstruction for both rigid andnon-rigid components of the scene. SplitFusion first adopts deep learning basedsemantic instant segmentation technique to split the scene into rigid ornon-rigid surfaces. The split surfaces are independently tracked via rigid ornon-rigid ICP and reconstructed through incremental depth map fusion.Experimental results show that the proposed approach can provide not onlyaccurate environment maps but also well-reconstructed non-rigid targets, e.g.the moving humans.

SplitFusion: Simultaneous Tracking and Mapping for Non-Rigid Scenes