juanelenter / FaceLandmarkDetection

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FaceLandmarkDetection

Early approaches: Fitting a deformable face mesh using strong priors.

  • Active Shape Model
  • Active Appearance Model
  • Constrained Local Model

Only achieve good results in controlled environments (frontal face and proper lightning).

Established methods.

  • ERT: cascade based on gradient boosting. ✔️

Paper: One Millisecond Face Alignment with an Ensemble of Regression Trees paper by Kazemi and Sullivan (2014).

In order to run ERT you should download the pretrained model from: https://www.pyimagesearch.com/2017/04/03/facial-landmarks-dlib-opencv-python/ in the "--shape-predictor" section and then extract the ".dat" file to the main folder.

landmarks

  • MultiTask Cascaded CNN:

Modern developments

  • Dense Face Alignment
  • Style Aggregated Network
  • Look at Boundary
  • Wing Loss
  • PFLD
  • AWing
  • Geometry Aggregated Network
  • Deep Adaptive Graph

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