Uncalibrated multiview synthesis based on epipolar geometry approximation

In this work, we propose an efficient multiview rendering algorithm that takes uncalibrated stereo as the input. First, the epipolar geometry of multiple viewpoints is analyzed for multiview display. Then, the camera pose for an arbitrarily selected viewpoint is estimated by algebraic approximation. Finally, by exploiting rectification homographies and disparities of rectified stereo, one can determine multiview images with their estimated camera poses. It is shown by experimental results that the proposed multiview synthesis algorithm can provide well calibrated results without warping distortion.