A distributed stereocorrelation algorithm

This paper addresses the problem of parallelizing one of the most computationally intensive imaging tasks, namely, the stereocorrelation operation. Stereocorrelation 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 stereocorrelation algorithm which uses a data farming approach to balance the work load