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

This paper proposes a new approach for automated floorplan reconstructionfrom RGBD scans, a major milestone in indoor mapping research. The approach,dubbed Floor-SP, formulates a novel optimization problem, where room-wisecoordinate descent sequentially solves dynamic programming to optimize thefloorplan graph structure. The objective function consists of data terms guidedby deep neural networks, consistency terms encouraging adjacent rooms to sharecorners and walls, and the model complexity term. The approach does not requirecorner/edge detection with thresholds, unlike most other methods. We haveevaluated our system on production-quality RGBD scans of 527 apartments orhouses, including many units with non-Manhattan structures. Qualitative andquantitative evaluations demonstrate a significant performance boost over thecurrent state-of-the-art. Please refer to our project websitehttp://jcchen.me/floor-sp/ for code and data.

Floor-SP: Inverse CAD for Floorplans by Sequential Room-wise Shortest Path