MICA is a deep learning method for metrical 3D face reconstruction from monocular images. It leverages a neural network to estimate 3D facial geometry and camera parameters using the FLAME parametric face model. The approach fits the 3DMM to input images through optimization, producing accurate face reconstructions suitable for downstream analysis and applications.