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 introduces a general approach to dynamic scene reconstruction frommultiple moving cameras without prior knowledge or limiting constraints on thescene structure, appearance, or illumination. Existing techniques for dynamicscene reconstruction from multiple wide-baseline camera views primarily focuson accurate reconstruction in controlled environments, where the cameras arefixed and calibrated and background is known. These approaches are not robustfor general dynamic scenes captured with sparse moving cameras. Previousapproaches for outdoor dynamic scene reconstruction assume prior knowledge ofthe static background appearance and structure. The primary contributions ofthis paper are twofold: an automatic method for initial coarse dynamic scenesegmentation and reconstruction without prior knowledge of backgroundappearance or structure; and a general robust approach for joint segmentationrefinement and dense reconstruction of dynamic scenes from multiplewide-baseline static or moving cameras. Evaluation is performed on a variety ofindoor and outdoor scenes with cluttered backgrounds and multiple dynamicnon-rigid objects such as people. Comparison with state-of-the-art approachesdemonstrates improved accuracy in both multiple view segmentation and densereconstruction. The proposed approach also eliminates the requirement for priorknowledge of scene structure and appearance.

General Dynamic Scene Reconstruction from Multiple View Video