手势密码解锁和 TouchID (指纹) / FaceID(面容) 解锁,代码简洁高效。(Gesture passcode unlocking and TouchID (fingerprint) / FaceID (facial features) unlocking.)
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Jun 16, 2024 - Objective-C
手势密码解锁和 TouchID (指纹) / FaceID(面容) 解锁,代码简洁高效。(Gesture passcode unlocking and TouchID (fingerprint) / FaceID (facial features) unlocking.)
The project, funded by the National Undergrad Innovation Training Program, aims to research non-contact heart rate measurement within a year. It utilizes device cameras (e.g., computers, smartphones) to extract facial video light signals, analyze them, and determine real-time heart rates based on Imaging Photoplethysmography (IPPG).
[CVPR] MARLIN: Masked Autoencoder for facial video Representation LearnINg
A collection of my completed projects, presented in a user-friendly tabular format within the README file. Each project is accompanied by a concise description, a list of the tools and languages/libraries utilized, and a corresponding repository link for seamless navigation.
Lightweight and intuitive package designed to streamline the integration process of dotta biometric service API
My Programming Assignments from the MA 544 Numerical Linear Algebra for Big Data Course from Stevens Institute of Technology
Demo Day - Web Interface for Senior Design (2023), Texas A&M University. Team: Roshan Thomas, Fathima Hakeem, Farah Shabbir, Moussa Judia
Official Implementation of "Towards Self-Supervised Gaze Estimation"
Automated face warping tool.
Gaze-Tracker is an application to estimate posture of an individual using Geometrical and Computer Vision algorithms.
shortfuse on CelebA dataset
An example implementation of a real-time facial recognition server with OpenVidu, Node.js and Python.
A health prediction system that takes facial images as input and predicts whether the person in the image is healthy or ill with fever, sore throat or running nose. 16 experiments combining LBP, PCA, LDA, Gabor filter feature extraction methods and SVM, NN, KNN, RF classifiers were run to find the best overall model for the health prediction sys…
Hierarchical CNN based Random Forests (HCRF) approach for face super-resolution.
A mobile application to detect the depression level in patients by facial and Twitter analysis.
The idea here was to create a centralised database using machine learning over all existing databases of a person's information, based on his face picture as ID, to remove the need for any physical ID proofs - your face is your unique ID proof.
A cross-platform face API
This program demonstrates how to plot face feature vectors on a 2-D chart using t-SNE method to compress dimension of the vectors
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