most citedReal-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input

29 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2016

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras (Extended Abstract)

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV20167 cited

Model-based Outdoor Performance Capture

Nadia Robertini, Dan Casas, Helge Rhodin +2

We propose a new model-based method to accurately reconstruct human performances captured outdoors in a multi-camera setup. Starting from a template of the actor model, we introduc…

cs.CV201629 cited

Real-time Joint Tracking of a Hand Manipulating an Object from RGB-D Input

Srinath Sridhar, Franziska Mueller, Michael Zollhöfer +3

Real-time simultaneous tracking of hands manipulating and interacting with external objects has many potential applications in augmented reality, tangible computing, and wearable c…

cs.CV20167 cited

EgoCap: Egocentric Marker-less Motion Capture with Two Fisheye Cameras

Helge Rhodin, Christian Richardt, Dan Casas +5

Marker-based and marker-less optical skeletal motion-capture methods use an outside-in arrangement of cameras placed around a scene, with viewpoints converging on the center. They…

cs.CV201622 cited

General Automatic Human Shape and Motion Capture Using Volumetric Contour Cues

Helge Rhodin, Nadia Robertini, Dan Casas +3

Markerless motion capture algorithms require a 3D body with properly personalized skeleton dimension and/or body shape and appearance to successfully track a person. Unfortunately,…