altiro3D: 2D-to-3D image and video conversion library for free-view LCD (starting from a single imagine or frame)
altiro3D is a free, extended C++ Library (-see releases) developed to reconstruct reality from a given single imagine (e.g., .png, .jpg) or flat video (e.g., .mp4). This is done generating a light-field (or Native) image -see "User's Manual"
![Visual Abstract](https://user-images.githubusercontent.com/84878752/230509598-98cba7fb-59fc-4129-b569-0f15221348ec.png)
The several altiro3D command lines provide the following features: • Create Native (i.e., 3D image) from Photo using MiDaS-small. • Create Native from Photo using MiDaS-large. • Create Native from a given original camera’s RGB image and depth image. • Create Native from a given Quilt (N×M). • Create Native from sorted N-views (i.e., sequential set of plain images) stored in a given directory. • Convert Quilt views to 2D video (.mp4). • Convert given 2D video to Native 3D video (.mp4). All these forms of Native images/videos consisting of light-fields can be correctly displayed on a specific slanted, lenticular screen such as the Looking Glass (LG) Portrait.
The latest version of the Debian ’altiro3D-x.x.x-Linux.deb’ package can be downloaded from "Releases" For details see "User's Manual"
sudo dpkg -i altiro3D-x.x.x-Linux.deb
Set the path to the working directory
source /opt/altiro3D/bin/setupvars.sh
cd /opt/altiro3D/bin/examples
./run_examples-1.sh
...
sudo dpkg -r altiro3D
![3D Photo](https://user-images.githubusercontent.com/84878752/226052585-650fcb74-323f-491d-84d1-9f771430f069.jpg)
![3D Photo](https://user-images.githubusercontent.com/84878752/226045600-1ccf40d2-79ad-4755-b818-ee9b7748bcf1.gif)
![3D Photo](https://user-images.githubusercontent.com/84878752/226053973-53c25d4a-4bfc-4b2f-a2a0-85cabfae1229.png)
![3D Photo](https://user-images.githubusercontent.com/84878752/226071241-cadf9821-43be-4db9-badc-709ce0aec0b1.gif)
![3D Photo](https://user-images.githubusercontent.com/84878752/226109704-924bf271-ca22-4e3f-ac9d-0c8af370f1d4.gif)
![Logo](https://user-images.githubusercontent.com/84878752/224785497-60c3ef3c-f341-4485-8194-dcfae28c8bd3.png)
If this software (including any part of it) is useful for you, please cite
@misc{altiro3D:
title = {{Scene representation from single image and novel view synthesis}},
author = {E. Canessa, L. Tenze},
doi = {10.48550/arXiv.2304.11161},
url = {https://arxiv.org/abs/2304.11161},
publisher = {arXiv},
year = {2023},
}
Article to appear (2023) in Springer's International Journal of Information Technology (IJIT).