Evaluating structural distortion in anonymized faces

With the rapid growth of computer vision applications, such as emotion recognition, mobile device authentication, and surveillance cameras, technology renders a ubiquitous force in daily life. For that reason, anonymization algorithms are the primary resource for preserving the user’s privacy. These techniques can involve naive approaches, such as blurring and masking the person’s face, as well as refined methods, such as using Generative Adversarial Networks (GANs). The relevance of these algorithms comes from the quality of the generated anonymization: it’s not useful if the technique removes important structural details of the face in such a way that it cannot be recognized as a person’s face anymore. In this way, an image anonymized by an algorithm must change the person’s identity while still maintaining enough features to be recognized as a face in computer vision tasks.

This project is focused on investigating the quality of different anonymization techniques and to generate tangible outputs that can guide models into maintaining an intact structure over these new faces.

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
---

Caption photos easily. On the left, a road goes through a tunnel. Middle, leaves artistically fall in a hipster photoshoot. Right, in another hipster photoshoot, a lumberjack grasps a handful of pine needles.

This image can also have a caption. It's like magic.

You can also put regular text between your rows of images. Say you wanted to write a little 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.

You can also have artistically styled 2/3 + 1/3 images, like these.

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>