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

Recovering surgical scene structure in laparoscope surgery is crucial stepfor surgical guidance and augmented reality applications. In this paper, aquasi dense reconstruction algorithm of surgical scene is proposed. This isbased on a state-of-the-art SLAM system, and is exploiting the initialexploration phase that is typically performed by the surgeon at the beginningof the surgery. We show how to convert the sparse SLAM map to a quasi densescene reconstruction, using pairs of keyframe images and correlation-basedfeatureless patch matching. We have validated the approach with a live porcineexperiment using Computed Tomography as ground truth, yielding a Root MeanSquared Error of 4.9mm.

SLAM based Quasi Dense Reconstruction For Minimally Invasive Surgery Scenes