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

Although the essential nuance of human motion is often conveyed as acombination of body movements and hand gestures, the existing monocular motioncapture approaches mostly focus on either body motion capture only ignoringhand parts or hand motion capture only without considering body motion. In thispaper, we present FrankMocap, a motion capture system that can estimate both 3Dhand and body motion from in-the-wild monocular inputs with faster speed (9.5fps) and better accuracy than previous work. Our method works in near real-time(9.5 fps) and produces 3D body and hand motion capture outputs as a unifiedparametric model structure. Our method aims to capture 3D body and hand motionsimultaneously from challenging in-the-wild monocular videos. To constructFrankMocap, we build the state-of-the-art monocular 3D "hand" motion capturemethod by taking the hand part of the whole body parametric model (SMPL-X). Our3D hand motion capture output can be efficiently integrated to monocular bodymotion capture output, producing whole body motion results in a unifiedparrametric model structure. We demonstrate the state-of-the-art performance ofour hand motion capture system in public benchmarks, and show the high qualityof our whole body motion capture result in various challenging real-worldscenes, including a live demo scenario.

FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration