Stereo matching is a crucial and challenging step in binocular vision measurement. Robust
zero-mean normalized cross-correlation (ZNCC) is widely used for stereo matching.
However, direct calculation by using the prevalent ZNCC algorithm is computationally
expensive because of the large number of redundancies that directly affect execution time.
Therefore, this study proposes a fast method for the reliable computation of the similarity
measure through ZNCC for stereo matching. We divide the standard ZNCC function into four …