Departmental Papers (CIS)

Date of this Version

April 2002

Document Type

Journal Article

Comments

Postprint version. Published in International Journal of Computer Vision, Volume 47, Number 1-3, April 2002, pages 51-61. The original publication is available at www.springerlink.com.
Publisher URL: http://dx.doi.org/10.1023/A:1014525320885

Abstract

In telepresence applications each user is immersed in a rendered 3D-world composed from representations transmitted from remote sites. The challenge is to compute dense range data at high frame rates, since participants cannot easily communicate if the processing cycle or network latencies are long. Moreover, errors in new stereoscopic views of the remote 3D-world should be hardly perceptible. To achieve the required speed and accuracy, we use trinocular stereo, a matching algorithm based on the sum of modified normalized cross-correlations, and subpixel disparity interpolation. To increase speed we use Intel IPL functions in the pre-processing steps of background subtraction and image rectification as well as a four-processor parallelization. To evaluate our system we have developed a testbed which provides a set of registered dense "ground-truth" laser data and image data from multiple views.

Keywords

trinocular stereo, telepresence, ground-truth evaluation, error metrics

Share

COinS
 

Date Posted: 15 March 2005

This document has been peer reviewed.