Abstract

We developed a method to transform stereoscopic two-dimensional (2D) images into holograms via unsupervised morphing deformations between left (L) and right (R) input images. By using robust DeepFlow and light-field rendering algorithms, we established correlations between a 2D scene and its three-dimensional (3D) display on a Looking Glass HoloPlay monitor. The possibility of applying this method, together with a lookup table for multi-view glasses-free 3D streaming with a stereo webcam, was also analyzed.

Highlights

  • Digital technologies to engage with three-dimensional (3D) objects and environments have been a burgeoning and popular subject in recent years

  • We have proposed a rapid conversion approach that allows to transform stereoscopic images into holograms via the automatic implementation of a Lookup Table (LUT) and unsupervised morphing deformations between the L and R stereo images

  • The key idea here is just to start from the pair of structured stereoscopic 2D images with no additional information about any in-between view to create the holograms

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Summary

Introduction

Digital technologies to engage with three-dimensional (3D) objects and environments have been a burgeoning and popular subject in recent years. It has been recently shown that the advantages of 3D stereoscopic visualization over a conventional two-dimensional (2D) planar screen can shorten the dissection time of specialized surgery [2]. Many advances have been achieved already, a key limitation for these technologies is the fact that, in some cases, it can produce contagious yawning [3]. It is necessary to wear special goggles or headsets, causing motion sickness and limiting user time. Notwithstanding such constraints, such applications can still give science a new dimension allowing researchers to view and share 3D data [4]. The final goal, would be to obtain and visualize similar results without wearing any device

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