Morphing a Stereogram into Hologram

This paper develops a simple and fast method to reconstruct reality from stereoscopic images. We bring together ideas from robust optical flow techniques, morphing deformations and lightfield 3D rendering in order to create unsupervised multiview images of a scene. The reconstruction algorithm provides a good visualization of the virtual 3D imagery behind stereograms upon display on a headset-free Looking Glass 3D monitor. We discuss the possibility of applying the method for live 3D streaming optimized via an associated lookup table.Comment: PDF, 8 pages, 4 Fig

eyapp andreya free apps for the automated recording of lessons by students

EyA-inspired applications (to "Enhance Your Audience") allow for easy automated recordings in the classroom. They also allow for a fast sharing of large amount of educational contents. We discuss on our two prototype apps: AndrEyA and EyApp for mobile devices running Android OS and iOS, with the ultimate goal of facilitating the recoding of academic lectures by individual students themselves. We show the strong differences in video size outputs with respect to video recordings using iPads and our app, without losing sources of information

Ideals and Virtual Realities

Abstract—A main step for world’s progress is to keep sharing ever-present Ideals for science and education within today’s Virtual Realities. On-line education is transforming human society to new levels in the way people teach and learn during the ongoing SARS-CoV-2 pandemic. There is an increasing interest in having more and more reliable, fast and simple apps to communicate and also to record, assemble and distribute videos and lectures in the fields of Physics & Maths still using traditional didactic methods. We describe here how to accurately reproduce chalkboard classes for the popular YouTube video platform using OpenEyA-YT. The audience can thus be expanded over continents to help mitigate the effects of physical isolation

Blotches Correction And Contrast Enhancement For Old Film Pictures

A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed. The frame alignment uses a global motion compensation, with a logarithmic search for the correction vector. The blotch removal step consists of two stages. Blotches are first detected using two suitable morphological operators; the resulting pixel maps are merged and then validated using an estimate of the motion. Secondly, a multilevel median filter is used to replace sets of pixels identified as blotches. For contrast enhancement we use a rational unsharp masking technique which is able to effectively treat the high resolution images. To comply with the film properties the sharpening operator acts strongly in the dark regions and weakly in the bright ones. It can also reduce noise in homogeneous areas. 1. INTRODUCTION At the present time there is an increasing request for methods for old f..