Liberovision Ag

Other

Vizrt Ag

Richard Keiser

Alexander Sorkine Hornung

Markus H Gross

Markus Gross

Remo Ziegler

Christoph Niederberger

Marcel Germann

Tiberiu Popa

Stephan Wuermlin Stadler

Marcus Gross

Stephan Würmlin Stadler

Estimating a pose of an articulatedD object model () by a computer is done by &#x2022;obtaining a sequence of source images () and therefrom corresponding source image segments () with objects (14) separated from the image background; &#x2022;matching such a sequence () with sequences () of reference silhouettes ('), determining one or more selected sequences of reference silhouettes (&#x2032;) forming a best match; &#x2022;for each of these selected sequences of reference silhouettes (&#x2032;), retrieving a reference pose that is associated with one of the reference silhouettes (&#x2032;); and &#x2022;computing an estimate of the pose of the articulated object model () from the retrieved reference pose or poses. The result of these steps is an initial pose estimate, which then can be used in further steps, for example, for maintaining local consistency between pose estimates from consecutive frames, and global consistency over a longer sequence of frames.

Silhouette-based pose estimation

A computer-implemented method for estimating a pose of an articulated object model that is a computer basedD model of a real world object observed by one or more source cameras, including the steps of obtaining a source image from a video stream; processing the source image to extract a source image segment maintaining, in a database, a set of reference silhouettes, each being associated with an articulated object model and a corresponding reference pose; comparing the source image segment to the reference silhouettes and selecting reference silhouettes by taking into account, for each reference silhouette, a matching error that indicates how closely the reference silhouette matches the source image segment retrieving the corresponding reference poses of the articulated object models; and computing an estimate of the pose of the articulated object model from the reference poses of the selected reference silhouettes.

Method for estimating a pose of an articulated object model

What is disclosed is a computer-implemented image-processing system and method for the automatic generation of video sequences that can be associated with a televised event. The methods can include the steps of: Defining a reference keyframe from a reference view from a source image sequence; From one or more keyframes, automatically computing one or more sets of virtual camera parameters; Generating a virtual camera flight path, which is described by a change of virtual camera parameters over time, and which defines a movement of a virtual camera and a corresponding change of a virtual view; and Rendering and storing a virtual video stream defined by the virtual camera flight path.

Image processing method and device for instant replay

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Zurich, Switzerland

Richard Keiser