COMP 562 Project Report An Evaluation of the Pyramid Stereo Matching Network PSMNet
Recent work proposed by Jia Ren Chang and Yong Shen Chen has suggested that Pyramid Stereo Matching (PSM) Network, can potentially be an efficient solution to robust and accurate 3D reconstructions. The purpose of our project is to evaluate the performance of the PSMNet on different combinations of datasets and then to seek potential improvements for the network. To achieve the goals, we will test the PSMNet first by validating pre trained network on public dataset such as KITTI 2012 and KITTI 2015 and then training and testing on two synthetic datasets generated by ourselves. During the evaluation, we would like to see the robustness and accuracy of PSMNet in various scenes. We also propose to add additional training layers to enhance network performance.