This paper proposes an improved belief propagation algorithm for stereo matching.Based on the assumption that the disparity field is continuous

traditional methods regard the disparity field as a Markovian network that transmits two-way information.But in the occluded area

disparity is not continuous.So we propose a new method.Firstly

we use the cross-check technology based on the initial disparity to detect the occluded area.Secondly

we regard the disparity map as a mixed network of Markovian field and Bayes filed.Then the occluded area does not transmit information to the non-occluded area so as to reduce the computational cost of disparity matching.We use the standard test images to evaluate our algorithm.The result shows that the proposed method achieves a high accuracy and efficiency.