An effective single image depth estimating algorithm

Depth estimating from image is a essentially important work in many situations. However, traditional methods always extract depth information from binocular image pairs. Estimating depth information from a single image is much harder because single image lake the relationship between global and local coordinate. This paper proposes a single image depth estimating method by the segmentation convolutional neural network method. Our method aimed at getting the depth map from a single image with high revolution and high speed. The proposed method include three components: segmentation, coarse estimating and high revolution refine. Experiment results show the method can get high quality results. We compare our method with other methods on the accuracy and processing time to show the advantages.