A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices
This paper proposes a classifier designed for human facial feature annotation, which is capable of running on relatively cheap, low power consumption autonomous microcomputer systems. An autonomous system is one that depends only on locally available hardware and software—for example, it does not us...
Main Author: | Tomasz Hachaj |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/7/2140 |
Similar Items
-
Um estudo empírico de um sistema de reconhecimento facial utilizando o classificador KNN
by: Fabio Abrantes Diniz, et al.
Published: (2016-06-01) -
A New Ore Grade Estimation Using Combine Machine Learning Algorithms
by: Umit Emrah Kaplan, et al.
Published: (2020-09-01) -
Comparison of Different Neural Network Training Algorithms with Application to Face Recognition
by: A. Vulovic, et al.
Published: (2018-01-01) -
Face Recognition with Preprocessing and Neural Networks
by: Habrman, David
Published: (2016) -
Non-parametric machine learning methods for evaluating the effects of traffic accident duration on freeways
by: Ying Lee, et al.
Published: (2017-09-01)