a survey of start-of-the-art 2D/3D Video Based Face Alignment
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Updated
Dec 18, 2017
a survey of start-of-the-art 2D/3D Video Based Face Alignment
Detect multiple faces using mtcnn and align each face using a modified version of the HOG face alignment class.
Repositories Collections on face detection and alignment with mtcnn
State-of-the-art 2D and 3D Face Analysis Project
Some facial landmark detection and alignment methods
ios implementation of https://github.com/soundsilence/FaceAlignment project
Infant Faces Collection Dataset
Multi-race and Multi-pose Face Images Dataset
Identical Twins Face Image Data
Human Face Image Dataset
Non-official implementation of "Supervised Descent Method and its Applications to Face Alignment, CVPR'13"
Face Image and Video Dataset (Asian race)
Detecting head orientation (Euler's angles), lips opening, face expression and bouding box size. Construct a decoder with these data.
Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.
Multi-pose and Multi-expression Face Dataset
Udacity Computer Vision Nanodegree - Facial Keypoint Detection Project
Family Face Dataset
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
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