Max-planck-gesellschaft Zur F&#xf6;rderung Der Wissenschaften E. V.

Leland Stanford Junior University

Eidgenossische Technische Hochschule

Christian Theobalt

Hans-Peter Seidel

Sebastian Thrun

Carsten Stoll

Hariraam Varun Ganapathi

Arjun Jain

Nils Hasler

Edilson De Aguiar

Juergen Gall

Thorsten Thormaehlen

Nils Dr-Ing Hasler

Carsten Dr-Ing Stoll

The present technology relates to a computer-implemented method for tracking an object in a sequence of multi-view input video images comprising the steps of acquiring a model of the object, tracking the object in the multi-view input video image sequence, and using the model.

Fast articulated motion tracking

The invention concerns a computer-implemented method for tracking and reshaping a human-shaped figure in a digital video comprising the steps: acquiring a body model of the figure from the digital video, adapting a shape of the body model, modifying frames of the digital video, based on the adapted body model and outputting the digital video.

Computer-implemented method and apparatus for tracking and reshaping a human shaped figure in a digital world video

Systems, devices, methods and arrangements are implemented in a variety of embodiments to facilitate motion capture of objects. Consistent with one such system, three-dimensional representations are determined for at least one object. Depth-based image data is used in the system, which includes a processing circuit configured and arranged to render a plurality of orientations for at least one object. Orientations from the plurality of orientations are assessed against the depth-based image data. An orientation is selected from the plurality of orientations as a function of the assessment of orientations from the plurality of orientations.

Motion capture with low input data constraints

A variety of methods, devices and storage mediums are implemented for creating digital representations of figures. According to one such computer implemented method, a volumetric representation of a figure is correlated with an image of the figure. Reference points are found that are common to each of two temporally distinct images of the figure, the reference points representing movement of the figure between the two images. A volumetric deformation is applied to the digital representation of the figure as a function of the reference points and the correlation of the volumetric representation of the figure. A fine deformation is applied as a function of the coarse/volumetric deformation. Responsive to the applied deformations, an updated digital representation of the figure is generated.

Systems, methods and devices for motion capture using video imaging

Growing community of inventors

Saarbrücken, Germany

Christian Theobalt