Publications de Ralf Plänkers

Using skeleton-based tracking to increase the reliability of optical motion capture

Daniel Thalmann, Pascal Fua, Ronan Boulic, Lorna Herda, Ralf Plänkers

Optical motion capture provides an impressive ability to replicate gestures. However, even with a highly professional system there are many instances where crucial markers are occluded or when the algorithm confuses the trajectory of one marker with that o ...

Elsevier2001

Skeleton-based motion capture for robust reconstruction of human motion

Daniel Thalmann, Pascal Fua, Ronan Boulic, Lorna Herda, Ralf Plänkers

2000

From synthesis to analysis: fitting human animation models to image data

Daniel Thalmann, Pascal Fua, Ralf Plänkers

We show that we can effectively fit complex animation models to noisy image data. Our approach is based on robust least squares adjustment and takes advantage of three complementary sources of information: stereo data, silhouette edges and 2D feature point ...

IEEE Computer Soc. Press1999

Local and global skeleton fitting techniques for optical motion capture

Daniel Thalmann, Pascal Fua, Ronan Boulic, Marius-Calin Silaghi, Ralf Plänkers

Identifying a precise anatomic skeleton is important in order to ensure high-quality motion capture. In this paper, we discuss two skeleton-fitting techniques based on 3D optical marker data. First, a local technique is proposed, based on relative marker t ...

Springer1998

Modeling human bodies from video sequences

Daniel Thalmann, Pascal Fua, Ralf Plänkers

In this paper, we show that, given video sequences of a moving person acquired with a multi-camera system, we can track joint locations during the movement and recover shape information. We outline techniques for fitting a simplified model to the noisy 3-D ...

SPIE-Int. Soc. Opt. Eng1998

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Ralf Plänkers

Using skeleton-based tracking to increase the reliability of optical motion capture

Skeleton-based motion capture for robust reconstruction of human motion

Automated body modeling from video sequences

From synthesis to analysis: fitting human animation models to image data

Local and global skeleton fitting techniques for optical motion capture

Modeling human bodies from video sequences

Graph Chatbot

Chattez avec Graph Search

Automated body modeling from video sequences

Using skeleton-based tracking to increase the reliability of optical motion capture

From synthesis to analysis: fitting human animation models to image data

Modeling human bodies from video sequences

Skeleton-based motion capture for robust reconstruction of human motion

Local and global skeleton fitting techniques for optical motion capture