Udacity Computer Vision Nanodegree - Landmark Detection and Tracking Project
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Updated
Nov 3, 2020 - Jupyter Notebook
Udacity Computer Vision Nanodegree - Landmark Detection and Tracking Project
Facial Keypoint Detection, Landmark Localization
Apply Simultaneous Localization And Mapping (SLAM) to derive landmark positions and robot localization from measures made by the robot
Multimodal System's Course Project in Geasture Recognition using MediaPipe Libary
Landmark detection by shapenet
Train-Predict-Landmarks-by-RCN
cascade correlation filter for super fast face landmark detection (500 landmarks/sec)
Detecting Facial Landmarks on 3D Models Based on Geometric Properties
'Mobile Robotics' Assignment #12: Localization by Landmarks
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
Code from TMI paper "Deep learning-based regression and classification for automatic landmark localization in medical images".
Train Predict Landmarks by Deep Alignment Network (DAN)
Train Predict Landmarks by Multi-context attention
Face alignment tool for transforming face images into FFHQ-style.
Area and Volume Algorithms on 3D Models
Train-Predict-Landmarks-by-Autoencoder
Research project files concerning non-stationary 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
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