Machine






Facial Landmark Rules:

Brows: 5 Points and 4 Lines Each

Eyes: 6 Points and 6 Lines Each

Nose: 9 Points and 8 Lines
4 Points from Bridge To Tip of Nose
5 Points from Left to Right Nostril

Lips: 20 Points and 20 Lines
10 Points for Upper Lip
10 Points for Lower Lip


For Each Lip:
5 Points on Outer Edge
3 Points on Inner Edge
Corners overlap

Jaw: 17 Points and 16 Lines
8 per side ending at Ear




This is how the system maps and labels the features of the face.


Under this system, my face is recognized with maximum of confidence of only 89 percent across 9 angles. In one image, my face is not recognized at all in the others, my gender is incorrectly and confidently reported at a high of 95 percent confidence and a low of 62.















How can I convince this machine of my gender?















How can I communicate something that is the sum of so many little moments, gestures, and decisions?



The relative lightness of my skin serves to make me more legible to facial recognition software as studies have shown that these technologies often fail to accurately recognize dark-skinned faces. Yet as this technology calibrated to whiteness gazes upon my face, I am still misgendered.

As these technologies are finding their way into the hands of law enforcement, I am left thinking about how trans people of color are multiply threaten by the intersection of this transphobic and racist tech with transphobic and racist policing.



Consider another set of faces:








None of these faces are real, they were generated by another algorithm, specifically, a generative adversarial network trained on 70,000 faces and tasked with creating new ones. They are composite images: an assembly of textures, shapes, and colors gathered into formations according to the algorithms rules for what constitutes a face.















What happens when we point one algorithm at another?















Facial Landmark Rules:

Brows: 5 Points and 4 Lines Each

Eyes: 6 Points and 6 Lines Each

Nose: 9 Points and 8 Lines
4 Points from Bridge To Tip of Nose
5 Points from Left to Right Nostril

Lips: 20 Points and 20 Lines
10 Points for Upper Lip
10 Points for Lower Lip


For Each Lip:
5 Points on Outer Edge
3 Points on Inner Edge
Corners overlap

Jaw: 17 Points and 16 Lines
8 per side ending at Ear





















What are they saying to each other?















In their conversation, the composite faces are more legible than my own. They see each other with greater certainty and clarity. They can agree on what a face is and place it into specific emotional and gender categories.















Main

Stages

Empire





(Note: The facial recognition used on this page is not improved or modified based on your engage with this page. No data is collected or shared through this project.

This project is best viewed on a non-mobile device. As a project in the early stages of development, it may not be fully compatible with all browsers and hardware.

More information can be found by viewing the source code of this page, either by right clicking on the page and selecting "view source" or by going to HERE.)