Pupil Tracking Exploration
I have two main ideas that would capture a person in time using pupil tracking and detection techniques.
1. Pupil Dilation in Response to Caffeine or Light
The first idea focuses on tracking pupil dilation as a measurable response to external stimuli like caffeine intake or changes in light exposure. By comparing pupil sizes before and after exposure to caffeine or varying light conditions, the project would aim to capture and quantify changes in pupil size and potentially draw correlations between stimulus intensity and pupil reaction.
2. Fixed Pupil Center with Moving Eye (The idea I am likely moving forward with)
Inspired by the concept of ‘change what’s moving and what’s still,’ this idea would create videos where the center of the pupil is always fixed at the center of the frame, while the rest of the eye and person moves around it.
Implementation Details
Both projects rely on an open-source algorithm that detects the pupil by fitting an ellipse to the pupil. Changes in pupil size will be inferred from the radius of the ellipse. The second idea will involve frame manipulation techniques to ensure that the center of the pupil/ellipse remains in the center of the image or video frame at all times.
https://github.com/YutaItoh/3D-Eye-Tracker