We use 3D face tracking to estimate the position of facial landmarks with pixel-level accuracy, even in presence of large head motion. We show that our method using 3D tracking performs better on video-based heart rate estimation than standard 2D tracking. This work was done in collaboration with Prof. Hiroshi Kawasaki from Kyushu University. This work was published in EMBC in 2020 [pdf].