Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm
Xiang Wu, Hao Lian, Xiangwei Bao, Shijie Zhang, Tianfei Chen · Mobile Information Systems · 2022
We present a semiglobal stereo matching technique that combines enhanced census transform with unidirectional dynamic programming optimization. This method not only improves matching accuracy but also substantially reduces noise interference by using the 8-domain pixel median instead of the centre pixel in the standard technique and optimizing the initial matching generation value with the 8-path aggregation optimization algorithm. The experimental findings show that this suggested strategy efficiently avoids interference produced by various noises and reduces the false matching rate significantly.