3D Scene Reconstruction from Images

Developed machine learning algorithms for the Image Matching Challenge 2025 that can figure out which images belong together and use them to reconstruct accurate 3D scenes.

Every project has a beautiful feature showcase page. It’s easy to include images in a flexible 3-column grid format. Make your photos 1/3, 2/3, or full width.

To give your project a background in the portfolio page, just add the img tag to the front matter like so:

---
layout: page
title: project
description: a project with a background image
img: /assets/img/12.jpg
---
This image can also have a caption. It's like magic.

You can also put regular text between your rows of images, even citations (Einstein & Taub, 1950). Say you wanted to write a bit about your project before you posted the rest of the images. You describe how you toiled, sweated, bled for your project, and then… you reveal its glory in the next row of images.

The code is simple. Just wrap your images with <div class="col-sm"> and place them inside <div class="row"> (read more about the Bootstrap Grid system). To make images responsive, add img-fluid class to each; for rounded corners and shadows use rounded and z-depth-1 classes. Here’s the code for the last row of images above:

<div class="row justify-content-sm-center">
  <div class="col-sm-8 mt-3 mt-md-0">
    {% include figure.liquid path="assets/img/6.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
  </div>
  <div class="col-sm-4 mt-3 mt-md-0">
    {% include figure.liquid path="assets/img/11.jpg" title="example image" class="img-fluid rounded z-depth-1" %}
  </div>
</div>

References

1950

  1. AJP
    The meaning of relativity
    Albert Einstein and AH Taub
    American Journal of Physics, 1950