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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Actions as simple as grasping an object or navigating around it require arich understanding of that object's 3D shape from a given viewpoint. In thispaper we repurpose powerful learning machinery, originally developed for objectclassification, to discover image cues relevant for recovering the 3D shape ofpotentially unfamiliar objects. We cast the problem as one of local predictionof surface normals and global detection of 3D reflection symmetry planes, whichopen the door for extrapolating occluded surfaces from visible ones. Wedemonstrate that our method is able to recover accurate 3D shape informationfor classes of objects it was not trained on, in both synthetic and realimages.

Shape and Symmetry Induction for 3D Objects