Face Landmark and Expression Studio
Detect a full MediaPipe face mesh from a webcam or uploaded image, highlight key facial regions, and study how AR filters attach to tracked facial points.
What MediaPipe predicts
MediaPipe Face Landmarker predicts a dense face mesh, not just a few feature points. That means students can inspect the overall facial surface plus focused regions such as eyes, lips, nose, and face oval.
How AR filters attach
AR filters use stable anchor points such as eye corners, the nose bridge, mouth center, and face outline. Once those points are tracked, overlays like glasses, crowns, blush, or masks can stay attached as the face moves.
Why this page is educational
This studio turns the same landmark idea behind the Face Filters Studio into a step-by-step teaching page: mesh points, highlighted facial regions, blendshape-based expression cues, and simple geometric measurements.
Mode: Live webcam tracking
Status: Start the camera to see how the face mesh drives AR-style attachments.
AR Attachment Map
Eyes and irises
Useful for glasses, eyeliner, lashes, gaze cues, and sparkle effects that follow eye movement.
Mouth and lips
Useful for lip tint, smile effects, speaking avatars, and mouth-open interactions.
Nose landmarks
Useful for stickers, animal noses, blush placement, and central face alignment.
Face oval
Useful for masks, contour overlays, beauty effects, and full-face tracking boundaries.
Mesh Summary
Faces
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Mesh points
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Basic Expression Cues
These are lightweight cues derived from MediaPipe face blendshapes. They are useful for teaching, but they are not the same as a full emotion classifier.
Top Blendshapes
Geometric Measurements