Predicting and fitting dense landmarks for 3D face reconstruction
3D face reconstruction with dense landmarks
We present the first method that accurately predicts 10x as many landmarks as usual, covering the whole head, including the eyes and teeth.
By fitting a morphable face model to these dense landmarks, we achieve state-of-the-art results for monocular 3d face reconstruction in the wild.
We show that dense landmarks are an ideal signal for integrating face shape information across frames by demonstrating accurate and expressive facial performance capture in both monocular and multi-view scenarios.
Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljevic, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljkovic, Tom Cashman, Julien Valentin