Stereo matching is one of the most important researches in computer vision.In order to obtain dense and correct disparity

a stereo matching algorithm using dynamic programming and left right consistency is presented.Firstly

the left and right disparity space images are computed using the left and right images as basic image separately.Secondly

in the computed disparity space images

the disparity images are computed using dynamic programming.Then the left right consistency of the disparity images is used to remove the mismatching pixels

and to generate the part of near real disparity images.At last

according to the ordering constraint of disparity image

a method detecting the searching space of unmatched pixels is presented.And an ordinary but efficient strategy is proposed to finalize these pixels.The experiments on some standard stereo  pairs are executed

and the results show the algorithm is effective.