A Novel Face Recognition Using Specific Values from Deep Neural Network-based Landmarks
Author:
Affiliation:
1. School of Information Technology, Carleton University,Ottawa,Canada
2. Carleton University,Systems and Computer Engineering,Ottawa,Canada
Funder
Natural Sciences and Engineering Research Council (NSERC) of Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10043349/10043179/10043417.pdf?arnumber=10043417
Reference18 articles.
1. Comparison of Eye and Face Features on Drowsiness Analysis
2. Deploying Machine Learning Techniques for Human Emotion Detection
3. Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
4. Improving Parkinson Detection using Dynamic Features from Evoked Expressions in Video
5. Real-time facial surface geometry from monocular video on mobile GPUs;kartynnik;ArXiv Preprint,2019
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1. Automatic soft‐tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning;Orthodontics & Craniofacial Research;2024-07-05
2. A Real-time Drowsiness Tracking Framework Using the Single Shot with Mediapipe;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23
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