An Evaluation of Correlation based Stereo Matching Algorithms by Considering Various Parameters

Stereo vision is one of the most active research areas in computer vision for an accurate estimation of disparity. Many researchers have been undergone past from many decades to find an accurate disparity, but still it is not an easy task to choose an appropriate algorithm for the required real time application. To overcome from this problem we introduce an objective that evaluates a set of six known correlation based stereo algorithms. An evaluation of correlation based stereo matching algorithms results will be very useful for selecting the appropriate stereo algorithms for a given application. This work mainly focuses on the evaluation of disparity estimation, robustness to change in illumination, robustness to change in exposure.