Stereo Matching, Stereo Vision, Disparity, Adaptive Window, Sum of Absolute Difference
Abstract
The aim of this paper is to develop a stereo matching algorithm based on adaptive windows for a stereo vision domain. This method retains the advantageous image processing speed of traditional methods, and proposes a means of decreasing the error rate, making it the best choice for application in real time systems. Depending on the characteristics of different regions, the proposed method provides a suitable window for stereo vision matching. The processing method is differentiated into disparity consistency, the disparity for a smooth region, the vote disparity between the 8-neighbors and the uniqueness of disparity. A different processing method is used in the lab with the sum of absolute difference (SAD), and the result is compared with a fixed window method; the result proves that this method improves on the SAD method, and yields more accurate depth information.
