An Efficient Multi-View Generation Method From a Single-View Video Based on Affine Geometry Information

Abstract

Various techniques for single-view to multi-view video conversion have been developed to visualize existing 2D content on 3D displays. Because the quality of the generated multi-view video is highly dependent on the accuracy of the applied depth information, obtaining reliable depth information from a single-view sequence is an important process. This paper presents an efficient method based on 3D affine geometry information to obtain depth information and to generate horizontal parallax images from a single-view sequence. In the proposed method, positions of the feature points in each horizontal parallax image plane are estimated using a computed infinite homography. The infinite homography is then updated to be applied to subsequent frames and to maintain consistent baseline distances between the original and the generated horizontal parallax images. Experiment results show that the proposed method has advantages over previous metric-structure-from-motion-based approaches that require 3D affine geometry information and additional internal camera parameters.