What we have done:
Avi has a new strategy from Marios about how to classify faces that should train much faster than the current strategy, which we did not have enough data to make work. This week, apart from presentations, Avi is implementing that strategy (and will have done so by midnight Sunday).
Claudia is in the process of collecting photos of individuals to be used as training data. This involves collecting around 100 photos each of about 20 people.
Dylan has tested the lens distortion calibration and the homography estimation between the camera and the projector. The lens distortion actually becomes much worse after the calibration, so Dylan is looking into reasons for why that is the case. However, since we are using the center for the image to get the face, and using the center of the projector to project onto the face, both of which are the places with the least lens distortion, there should be no need to get the lens distortion working.
What we are planning to do:
In the next week we will have collected a significant amount of training data and can start to implement and train our adversarial neural networks.
We can start projecting objects onto a person using the homography estimation between the projector and the camera.