landmark-localization
There are 0 repository under landmark-localization topic.
guoqiangqi / PFLD
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
Language:Python 624lyp-deeplearning / MOS-Multi-Task-Face-Detect
Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"
Language:Python 133DCBIA-OrthoLab / SlicerAutomatedDentalTools
A 3D Slicer extension to use AMASSS, ALI-CBCT and ALI-IOS
Language:Python 75chi0tzp / FFHQFaceAlignment
Face alignment tool for transforming face images into FFHQ-style.
Language:Python 37SenonETS / 3DSlicerTutorial_ExtensionModuleDevelopment
SourceCode of serial tutorials on 3D Slicer extension development for beginners
Language:Python 20research-digitized-rhinoplasty / 3D-Facial-Landmark-Detection
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
Language:Jupyter Notebook 8This 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.
Language:Python 7MitchellX / fllc3-icme2021.github.io
Welcome to the 3rd Grand Challenge of 106-Point Facial Landmark Localization @ICME 2021
Language:HTML 5predict-idlab / landmarker
PyTorch-based toolkit for landmark detection
Language:Python 5mohaEs / Train-Predict-Landmarks-by-dlib
Train Predict Landmarks by dlib
Language:Python 4Bennyhwanggggg / Landmark-Detection-and-Tracking-using-SLAM
Udacity Computer Vision Nanodegree - Landmark Detection and Tracking Project
Language:Jupyter Notebook 3Train Predict Landmarks by Deep Alignment Network (DAN)
Language:Python 3alexsloot00 / WiFi-based-landmark-estimation
Research project files concerning non-stationary landmark localization
Language:C 2LaurentVeyssier / Landmark-detection-and-robot-tracking
Apply Simultaneous Localization And Mapping (SLAM) to derive landmark positions and robot localization from measures made by the robot
Language:Jupyter Notebook 2Train-Predict-Landmarks-by-flat
Language:Python 2cankocagil / Facial-Landmark-Detection
Facial Keypoint Detection, Landmark Localization
Language:Jupyter Notebook 1hamedkiani / correlation-filter-cascade-face-landmark-localization
cascade correlation filter for super fast face landmark detection (500 landmarks/sec)
Language:MATLAB 1AnnaPallares / Multimodal-Systems
Multimodal System's Course Project in Geasture Recognition using MediaPipe Libary
Language:Jupyter Notebook 0fllc3-icme2021 / fllc3-icme2021.github.io
Welcome to the 3rd Grand Challenge of 106-Point Facial Landmark Localization @icme 2021
Language:HTML 0Landmark detection by shapenet
Language:Python 0Area and Volume Algorithms on 3D Models
Language:HTML 0DevFirdavs / FFHQFaceAlignment
Face alignment tool for transforming face images into FFHQ-style.
Language:Pythongabrielnhn / Simple_Localization
'Mobile Robotics' Assignment #12: Localization by Landmarks
Language:PythonTrain-Predict-Landmarks-by-Autoencoder
Language:PythonTrain Predict Landmarks by Multi-context attention
Language:PythonTrain-Predict-Landmarks-by-RCN
Language:PythonSarveshSridhar / RealTime-Drowsiness-Detection-using-Facial-Landmarks-and-Outlier-Detection
Drowsiness Detection using Facial Landmarks
Language:Jupyter NotebookSerdarHelli / Knee-Merchant-Landmark-Detection
Measurement of Merchant Angles is a fully automated method to measure Patellar Congruence Angle and Tilt Angle on Merchant Knee radiographs, employing CNN landmark localizers
Language:Jupyter Notebooktooth2 / Robot_Particle_Fillter
Particle Filter implementation : implement a particle filter and combine it with a real map to localize an object. Particle filter uses data and a map to determine the precise location of an object such as a robot or a vehicle.
Language:C++