An anaglyph 2D-3D stereoscopic video visualization approach

In this paper, we propose a simple anaglyph 3D stereo generation algorithm from 2D video sequence with a monocular camera. In our novel approach, we employ camera pose estimation method to directly generate stereoscopic 3D from 2D video without building depth map explicitly. Our cost-effective method is suitable for arbitrary real-world video sequence and produces smooth results. We use image stitching based on plane correspondence using fundamental matrix. To this end, we also demonstrate that correspondence plane image stitching based on Homography matrix only cannot generate a better result. Furthermore, we utilize the structure-from-motion (with fundamental matrix) based reconstructed camera pose model to accomplish visual anaglyph 3D illusion. The anaglyph result is visualized by a contour based yellow-blue 3D color code. The proposed approach demonstrates a very good performance for most of the video sequences in the user study.