Facial landmark detection is a useful algorithm with many possible applications including expression transfer, virtual make-up, and facial puppetry. This project aims to implement a scalable API for facial landmark detector. Alongside the API, 2 kinds of algorithms will be implemented including active appearance model and regressed local binary features which able to work at 3000fps. As the documentations and tutorials will be provided, it will give a lot of benefit for both of OpenCV developers and users.

Organization

Student

Laksono Kurnianggoro

Mentors

  • Antonella Cascitelli
  • Delia Passalacqua
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2017