@inproceedings{b060ec1f9c4948d988d112b27a02315c,
title = "Facial displays description schemas for smiling vs. neutral emotion recognition",
abstract = "The possibility of correct automatic recognition of emotion is of high importance in many research domains. In this paper the choice of relevant face regions for smile detection is investigated. Firstly, three facial display division schemas are compared. Afterwards, for the most promising, some region masks are suggested. The presented approach differs in feature vector length. The performance of classification between smiling and neutral facial display proved that applying masks, hence shortening the feature vector, does not decrease the accuracy but even improves the result.",
keywords = "Classification, Local binary patterns, Smile detection",
author = "Karolina Nurzy{\'n}ska and Bogdan Smo{\l}ka",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015 ; Conference date: 14-06-2015 Through 18-06-2015",
year = "2015",
doi = "10.1007/978-3-319-19324-3\_53",
language = "English",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "594--605",
editor = "Zurada, \{Jacek M.\} and Zadeh, \{Lotfi A.\} and Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz",
booktitle = "Artificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Proceedings",
address = "Germany",
}