Publications by Anastasia Tkach

Real-Time Generative Hand Modeling and Tracking

In our everyday life we interact with the surrounding environment using our hands. A main focus of recent research has been to bring such interaction to virtual objects, such as the ones projected in virtual reality devices, or super-imposed as holograms i ...

EPFL2018

Online Generative Model Personalization for Hand Tracking

Mark Pauly, Andrea Tagliasacchi, Edoardo Remelli, Anastasia Tkach

We present a new algorithm for real-time hand tracking on commodity depth-sensing devices. Our method does not require a user-specific calibration session, but rather learns the geometry as the user performs live in front of the camera, thus enabling seaml ...

Assoc Computing Machinery2017

Sphere-Meshes for Real-Time Hand Modeling and Tracking

Mark Pauly, Anastasia Tkach, Andrea Tagliasacchi

Modern systems for real-time hand tracking rely on a combination of discriminative and generative approaches to robustly recover hand poses. Generative approaches require the specification of a geometric model. In this paper, we propose a the use of sphere ...

Assoc Computing Machinery2016

Robust Articulated-ICP for Real-Time Hand Tracking

Mark Pauly, Sofien Bouaziz, Anastasia Tkach, Andrea Tagliasacchi

We present a robust method for capturing articulated hand motions in realtime using a single depth camera. Our system is based on a realtime registration process that accurately reconstructs hand poses by fitting a 3D articulated hand model to depth images ...

2015