Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jose M. Buades"'
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5637 (2022)
The objective of this work is to analyze which features are most important in the recognition of facial expressions. To achieve this, we built a facial expression recognition system that learns from a controlled capture data set. The system uses diff
Externí odkaz:
https://doaj.org/article/18961ce498d84292963472b85d42e9ca
Publikováno v:
Multimedia Tools and Applications. 81:39507-39544
Recognizing facial expressions is a challenging task both for computers and humans. Although recent deep learning-based approaches are achieving high accuracy results in this task, research in this area is mainly focused on improving results using a
Publikováno v:
International Journal of Interactive Multimedia & Artificial Intelligence; Dec2024, Vol. 9 Issue 1, p18-27, 10p
Publikováno v:
Applied Intelligence; Oct2024, Vol. 54 Issue 19, p8982-9007, 26p
Publikováno v:
Multimedia Tools & Applications; Nov2022, Vol. 81 Issue 27, p39507-39544, 38p
Publikováno v:
Applied Sciences (2076-3417); Jun2022, Vol. 12 Issue 11, p5637-5637, 21p
Autor:
Dawei, Wang, Hongyan, Yang
Publikováno v:
2015 International Conference on Control, Automation & Robotics; 2015, p209-213, 5p
This book constitutes the refereed proceedings of the 8th Iberoamerican Conference on Applications and Usability of Interactive Television, jAUTI 2019, in Rio de Janeiro, Brazil, in October 2019.The 10 full papers presented were carefully reviewed an
Autor:
Francisco J. Perales, Bruce A. Draper
This book constitutes the refereed proceedings of the Third International Workshop on Articulated Motion and Deformable Objects, AMDO 2004, held in Palma de Mallorca, Spain in September 2004. The 25 revised full papers presented were carefully review