Stereo matching is currently one of the most active research topics in domain of computer vision.A new feature-point-based stereo matching algorithm is proposed in this paper

in order to match feature points more efficiently and accurately.It is independent of feature detection algorithms

using the scan line as the matching unit

using the robust function as the matching cost function and using the ordering constraint to detect and correct errors in each matching unit in the disparity map.Experiments show that the matching accuracy of this algorithm is better than the traditional NCC(normalized cross-correlation) based stereo matching algorithm and the running time is quite fast.So

it can be used in the independent hardware feature-point-based stereo vision system.