A Review of Stereo-Photogrammetry Method for 3-D Reconstruction in Computer Vision

Abstract

3-D reconstruction is one big concern since the first days of computer vision (CV) development. By going through the history of 3-D reconstruction, we show the contribution of this field into society and the necessity of improving the system's complexity, speed and accuracy. Although various algorithms and methods have been introduced, stereo-photogrammetry that applies the binocular vision principle is the closest to human vision system. Originated from the motivation of improving the stereo-photogrammetry and applying for robot manipulation, the method is reviewed with all three known-to-date categorizes local, global and semi-global. In addition, it is advisable to rectify the stereo images before matching to find depth and reconstruct 3-D models. Therefore, some of the rectification methods are demonstrated. Finally, we discussed our findings and future work relates to stereo-photogrammetry.