| Laboratoire d'Informatique Fondamentale de Lille |  |
Conference papers
Automatic Facial Feature Detection for Facial Expression Recognition
Abstract : This paper presents a real-time automatic facial feature point detection method for facial expression recognition. The system is capable of detecting seven facial feature points (eyebrows, pupils, nose, and corners of mouth) in grayscale images extracted from a given video. Extracted feature points then used for facial expression recognition. Neutral, happiness and surprise emotions have been studied on the Bosphorus dataset and tested on FG-NET video dataset using OpenCV. We compared our results with previous studies on this dataset. Our experiments showed that proposed method has the advantage of locating facial feature points automatically and accurately in real-time.
Cited literature [13 references]
https://hal.archives-ouvertes.fr/hal-00812308
Contributor : Ioan Marius Bilasco Connect in order to contact the contributor
Submitted on : Saturday, September 29, 2018 - 3:57:13 PM
Last modification on : Wednesday, May 11, 2022 - 12:34:02 PM
Long-term archiving on: : Monday, December 31, 2018 - 10:24:57 AM
Contributor : Ioan Marius Bilasco Connect in order to contact the contributor
Submitted on : Saturday, September 29, 2018 - 3:57:13 PM
Last modification on : Wednesday, May 11, 2022 - 12:34:02 PM
Long-term archiving on: : Monday, December 31, 2018 - 10:24:57 AM
File
Automatic Facial Feature Detec...
Files produced by the author(s)