Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
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Updated
Feb 2, 2023 - Python
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"
A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS
Face alignment tool for transforming face images into FFHQ-style.
SourceCode of serial tutorials on 3D Slicer extension development for beginners
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
PyTorch-based toolkit for landmark localization
This Module is designed for spine deformity analysis using freehand 3D ultrasound imaging, and the first module Lamina Landmark Labeling help find the Spinal Cord curve in 3D, which can be projected to three anatomical planes, e.g., for Scoliosis analysis using the Cobb angle when projected to the front back view.
Train Predict Landmarks by dlib
Welcome to the 3rd Grand Challenge of 106-Point Facial Landmark Localization @icme 2021
Train Predict Landmarks by Deep Alignment Network (DAN)
Udacity Computer Vision Nanodegree - Landmark Detection and Tracking Project
Apply Simultaneous Localization And Mapping (SLAM) to derive landmark positions and robot localization from measures made by the robot
Research project files concerning non-stationary landmark localization
Train-Predict-Landmarks-by-flat
Facial Keypoint Detection, Landmark Localization
Landmark detection by shapenet
cascade correlation filter for super fast face landmark detection (500 landmarks/sec)
Train Predict Landmarks by Multi-context attention
Train-Predict-Landmarks-by-Autoencoder
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