The perceptron Lab was founded by Héctor Rodríguez. Its main aim is to use machine learning and computer vision methods to analyze film aesthetics automatically and to visualize those analyses in the form of video installations. The main research direction to this point has focused mainly on the application of optical flow, matrix factorization, and deep neural networks to the visualization of cinematic movement.