This week, a chessboard pattern was printed out and tested with multiple pictures of my face and my roommate Julian’s face. OpenCV’s chessboard detector method wouldn’t quite work on us but the problem seems to be the size of the squares. For it to fit on the forehead, it had to be cut down to 3×2. However, OpenCV’s method detects the inner corners only which makes it 2×1, and requires at least 2×2. So I will spend more time trying to work with that and if it doesn’t work out I’ll try other calibration methods.

In this screenshot, the algorithm didn’t quite accurately detect my eyes but that was a rarity as it works with most other images:

Applying the distance method to these photos, the result in pixels actually seems pretty accurate. The distance between the eyes turns out to be around half of the image’s width in pixels, more or less.