Distributed stereo-correlation algorithm

Authors:
Hamid R. Arabnia
Affiliations:
Department of Computer Science, The University of Georgia, 415 Graduate Studies Research Center, Athens, GA 30602, USA
Venue:
Computer Communications
Year:
1996

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Abstract

This paper addresses the problem of parallelizing one of the most computationally intensive imaging tasks, namely, the stereocorrelation operation. Stereo-correlation is a statistical procedure utilized to automatically derive the depth information from a pair of digitized pictures taken from the same scene but at different positions. Thus, the operation automatically generates the third dimension (z-coordinate) of each pixel of the image of the scene. The paper presents a simple but novel distributed stereo-correlation algorithm which uses a data farming approach to balance the work load. It presents the Parallel Virtual Machine implementations of the algorithm together with a set of execution times.