Warping-Based Novel View Synthesis from a Binocular Image for Autostereoscopic Displays

Abstract

This paper presents a warping-based method for synthesizing multiple views from a binocular stereoscopic image. Auto stereoscopic displays require multiple views while most stereoscopic cameras can only capture two. Popular novel view synthesis methods, such as depth image based rendering (DIBR), often heavily rely on accurate depth maps, which are still difficult to obtain. The proposed method requires neither depth maps nor user intervention. It extracts dense and reliable features. Feature correspondences guide image warping to synthesize novel views while simultaneously maintaining stereoscopic properties and preserving image structures. Compared to DIBR, the proposed method produces higher-quality multi-view images more efficiently without tedious parameter tuning. The method can be used to convert stereoscopic images taken by binocular cameras into multi-view images ready to be displayed on auto stereoscopic displays.