2D23D: 3D images from 2D images using statistical filters and color shading

Authors

  • Marco A. García-Márquez Universidad Politécnica de Pachuca
  • Josue R. Martínez-Mireles Universidad Politécnica de Pachuca
  • Jazmín Rodríguez-Flores Universidad Politécnica de Pachuca
  • Arturo Austria-Cornejo Universidad Politécnica de Pachuca
  • Jorge A. Ruiz-Vanoye Universidad Politécnica de Pachuca

DOI:

https://doi.org/10.61467/2007.1558.2024.v15i3.521

Keywords:

Image, Depth, Color, Mesh, 3D

Abstract

Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created.

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Published

2024-10-01

How to Cite

García-Márquez, M. A., Martínez-Mireles, J. R., Rodríguez-Flores, J., Austria-Cornejo, A., & Ruiz-Vanoye, J. A. (2024). 2D23D: 3D images from 2D images using statistical filters and color shading. International Journal of Combinatorial Optimization Problems and Informatics, 15(3), 115–125. https://doi.org/10.61467/2007.1558.2024.v15i3.521

Issue

Vol. 15 No. 3 (2024)

Section

Articles

License

Copyright (c) 2024 International Journal of Combinatorial Optimization Problems and Informatics

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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