[New] More accurate tracking asset “
Dlib FaceLandmark Detector†is now on sale.
Works with Unity Cloud BuildiOS &
Android support
Windows10 UWP support
WebGL support
Win &
Mac &
Linux Standalone support
Preview support in the
EditorThis asset requires “OpenCV for Unityâ€.This asset is a
non-rigid face tracking solution that can model and track the many complex parts of a person’s face in a
WebCamTexture all in
real-time.
Code is a rewrite of
https://github.com/MasteringOpenCV/code/tree/master/Chapter6_NonRigidFaceTracking using “
OpenCV for Unityâ€.
Official Site |
ExampleCode |
Android Demo |
Demo VideoTexture2DFaceTrackerExample - Detect and track a face from a Texture2D, draw points on the face and connections between them.
WebCamTextureFaceTrackerExample - Detect and track a face from a WebCamTexture, draw points on the face and connections between them.
FaceTrackerARExample - Use the tracking points of a face and display an AR Object.
System Requirements Build Win Standalone & Preview Editor : Windows 8 or laterBuild Mac Standalone & Preview Editor : OSX 10.9 or later