Abstract: To solve the problem of fuzzy boundaries in stereo matching, boundary mismatching in textureless area and too rough cost in initial matching, a strengthen algorithm based on the boundary information was designed to improve the image of the data items. The unsuitable matched pixels were weakened by normalized matching cost, the weights were settled to strengthen the border information, and the boundary constraints were used to do the match. Experiments showed that, the new energy function could get the correct disparity in the boundary region and could eliminate the discontinuity lines in the textureless region; the optimization effect was improved with less iterations. In the textureless area the error rate could be reduced to 14％.

Key words: stereo matching, energy function, data item, boundary information, boundary constraint