Three.js helper for FaceMesh https://github.com/tensorflow/tfjs-models/tree/master/facemesh
Demo with textured mask: https://spite.github.io/FaceMeshFaceGeometry/examples/mask/index.html
Demo with remapped video: https://spite.github.io/FaceMeshFaceGeometry/examples/video/index.html
Demo with instanced geometry: https://spite.github.io/FaceMeshFaceGeometry/examples/instanced/index.html
Demo of texture mapping from an image: https://spite.github.io/FaceMeshFaceGeometry/examples/face_transfer/index.html
Demo of face switching: https://spite.github.io/FaceMeshFaceGeometry/examples/face_off/index.html
After following the code in the FaceMesh repo, you end up with a face estimation.
First import the class.
import { FaceMeshFaceGeometry } from './face.js';
Create a new geometry helper.
const faceGeometry = new FaceMeshFaceGeometry();
On the update loop, after the model returns some faces:
const faces = await model.estimateFaces(video);
if(faces.length) {
faceGeometry.update(faces[0]);
}
You have to call FaceMeshFaceGeometry::setSize with the width and height of the video to normalise the coordinates so they align with the video source.
That's all there is. You can use faceGeometry as any other BufferGeometry:
const mask = new Mesh(faceGeometry, material);
scene.add(mask);
This works for the video as it comes. If your source is a webcam, you might want to flip it horizontally.
In that case -besides flipping the video element, by using transform: scaleX(-1), for instance- you'll have to pass a flag to estimateFaces and update:
const faces = await model.estimateFaces(video, false, true);
if(faces.length) {
faceGeometry.update(faces[0], true);
}
You can use the input to the FaceMesh model to texture the 3d mesh of the face. Constuct the helper with:
const faceGeometry = new FaceMeshFaceGeometry({useVideoTexture: true});
That will remap the UV coordinates of the geometry to fit the input. The vertex coordinates from the estimation will be projected every frame into the UV space. That means that the UV coordinates for the shader won't work for texture mapping (i.e,, alpha mask, ao map, etc. will be mapped differently and probably wrong).
There seem to be issues with instanced video in macOs Chrome and Safari.
The range of the vertices is based on the resolution of the input feed, so it changes depending on the chosen video or image input. Construct the FaceGeometry helper with the option normalizeCoords set to true and the mesh will be in a resonable consistent size.
const faceGeometry = new FaceMeshFaceGeometry({normalizeCoords: true});
FaceMesh data works better with an Orthographic camera. First create a camera:
const camera = new OrthographicCamera(1, 1, 1, 1, -1000, 1000);
and then when the video is ready, or the video dimensions change (width, height), run:
camera.left = -.5 * width;
camera.right = .5 * width;
camera.top = .5 * height;
camera.bottom = -.5 * height;
camera.updateProjectionMatrix();
After faceGeometry.update() you can use faceGeometry.track() to place objects relative to the surface of the face.
dummy.position.copy(track.position);
dummy.rotation.setFromRotationMatrix(track.rotation);
It will calculate a triangle defined by the three provided vertex ids, and return a position, a normal, and an orthogonal basis rotation that cane be used to rotate and object along the correct normal of that triangle.
Use this image as a reference for vertex Ids.
FaceMeshFaceGeometry::update(face: FaceEstimation, cameraIsFlipped: boolean): void
Updates the vertices and recalculates normals.
FaceMeshFaceGeometry::setSize(width: number, height: number): void
Sets the internal values to reframe the coordinates.
FaceMeshFaceGeometry::track(id0: number, id1: number, id2: number): { position: Vector3, normal: Vector3, rotation: Matrix4 }
Calculates a triangle defined by vertices id0, id1 and id2, return its center, normal and orthogonal basis.
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