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Proceedings Paper

Object-based system for stereoscopic videoconferencing with viewpoint adaptation
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Paper Abstract

This paper describes algorithms that were developed for a stereoscopic videoconferencing system with viewpoint adaptation. The system identifies foreground and background regions, and applies disparity estimation to the foreground object, namely the person sitting in front of a stereoscopic camera system with rather large baseline. A hierarchical block matching algorithm is employed for this purpose, which takes into account the position of high-variance feature points and the object/background border positions. Using the disparity estimator's output, it is possible to generate arbitrary intermediate views from the left- and right-view images. We have developed an object-based interpolation algorithm, which produces high-quality results. It takes into account the fact that a person's face has a more or less convex surface. Interpolation weights are derived both from the position of the intermediate view, and from the position of a specific point within the face. The algorithms have been designed for a realtime videoconferencing system with telepresence illusion. Therefore, an important aspect during development was the constraint of hardware feasibility, while sufficient quality of the intermediate view images had still to be retained.

Paper Details

Date Published: 16 September 1996
PDF: 12 pages
Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); doi: 10.1117/12.251299
Show Author Affiliations
Jens-Rainer Ohm, Heinrich-Hertz-Institut fuer Nachrichtentechnik GmbH (Germany)
Ebroul Izquierdo, Heinrich-Hertz-Institut fuer Nachrichtentechnik GmbH (Germany)


Published in SPIE Proceedings Vol. 2952:
Digital Compression Technologies and Systems for Video Communications
Naohisa Ohta, Editor(s)

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