A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API
Emotions represent feelings about people in several situations. Various machine learning algorithms have been developed for emotion detection in a multimedia element, such as an image or a video. These techniques can be measured by comparing their accuracy with a given dataset in order to determine...
Main Authors: | Beltrán Prieto Luis Antonio, Komínkova-Oplatková Zuzana |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2017-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201712502067 |
Similar Items
-
Comparison of tracking algorithms implemented in OpenCV
by: Janku Peter, et al.
Published: (2016-01-01) -
Face recognition and system establishment with OpenCV
by: Hong-Wen Yang, et al.
Published: (2019) -
Handwritten capital letter recognition based on OpenCV
by: Lu Yuncong
Published: (2019-01-01) -
License plate recognition system by using OpenCV
by: Kuan-Cheng Kuo, et al. -
Emotion Recognition using AutoEncoders and Convolutional Neural Networks
by: Luis Antonio Beltrán Prieto, et al.
Published: (2018-06-01)