A New method of Image depth extraction based on SVM

3DTV gets more and more popular. However, with the growing number of stereoscopic display devices, the 3D content for display is obviously insufficient. Current methods for generating single camera stereoscopic videos are based on creating a depth map. In this paper, an efficient image depth extraction method which utilizes the support vector machine(SVM) process is proposed. The label is established from the true depth of different videos,and the vector feature, haze is utilized as the feature vector. Through SVM training, the depth map of predicted video is obtained. The experimental results show that the algorithm is effective.