PCA application in classification of smiling and neutral facial displays

Karolina Nurzynska; Bogdan Smolka

doi:10.1007/978-3-319-18422-7_35

PCA application in classification of smiling and neutral facial displays

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Citations (Scopus)

Abstract

Psychologists claim that the majority of inter-human communication is transferred non-verbally. The face and its expressions are the most significant channel of this kind of communication. In this research the problem of recognition between smiling and neutral facial display is investigated. The set-up consisting of proper local binary pattern operator supported with an image division schema and PCA for feature vector length diminishing is presented. The achieved results using k-nearest neighbourhood classifier are compared on a couple of image datasets to prove successful application of this approach.

Original language	English
Title of host publication	Communications in Computer and Information Science
Editors	Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa
Publisher	Springer Verlag
Pages	398-407
Number of pages	10
ISBN (Print)	9783319184210
DOIs	https://doi.org/10.1007/978-3-319-18422-7_35
Publication status	Published - 2015

Publication series

Name	Communications in Computer and Information Science
Volume	521
ISSN (Print)	1865-0929

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-18422-7_35

Cite this

Nurzynska, K., & Smolka, B. (2015). PCA application in classification of smiling and neutral facial displays. In S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, & D. Kostrzewa (Eds.), Communications in Computer and Information Science (pp. 398-407). (Communications in Computer and Information Science; Vol. 521). Springer Verlag. https://doi.org/10.1007/978-3-319-18422-7_35

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abstract = "Psychologists claim that the majority of inter-human communication is transferred non-verbally. The face and its expressions are the most significant channel of this kind of communication. In this research the problem of recognition between smiling and neutral facial display is investigated. The set-up consisting of proper local binary pattern operator supported with an image division schema and PCA for feature vector length diminishing is presented. The achieved results using k-nearest neighbourhood classifier are compared on a couple of image datasets to prove successful application of this approach.",

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Nurzynska, K & Smolka, B 2015, PCA application in classification of smiling and neutral facial displays. in S Kozielski, D Mrozek, P Kasprowski, B Malysiak-Mrozek & D Kostrzewa (eds), Communications in Computer and Information Science. Communications in Computer and Information Science, vol. 521, Springer Verlag, pp. 398-407. https://doi.org/10.1007/978-3-319-18422-7_35

PCA application in classification of smiling and neutral facial displays. / Nurzynska, Karolina ; Smolka, Bogdan.
Communications in Computer and Information Science. ed. / Stanislaw Kozielski; Dariusz Mrozek; Pawel Kasprowski; Bozena Malysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2015. p. 398-407 (Communications in Computer and Information Science; Vol. 521).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - PCA application in classification of smiling and neutral facial displays

AU - Nurzynska, Karolina

AU - Smolka, Bogdan

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Psychologists claim that the majority of inter-human communication is transferred non-verbally. The face and its expressions are the most significant channel of this kind of communication. In this research the problem of recognition between smiling and neutral facial display is investigated. The set-up consisting of proper local binary pattern operator supported with an image division schema and PCA for feature vector length diminishing is presented. The achieved results using k-nearest neighbourhood classifier are compared on a couple of image datasets to prove successful application of this approach.

AB - Psychologists claim that the majority of inter-human communication is transferred non-verbally. The face and its expressions are the most significant channel of this kind of communication. In this research the problem of recognition between smiling and neutral facial display is investigated. The set-up consisting of proper local binary pattern operator supported with an image division schema and PCA for feature vector length diminishing is presented. The achieved results using k-nearest neighbourhood classifier are compared on a couple of image datasets to prove successful application of this approach.

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AN - SCOPUS:84929485040

SN - 9783319184210

T3 - Communications in Computer and Information Science

SP - 398

EP - 407

BT - Communications in Computer and Information Science

A2 - Kozielski, Stanislaw

A2 - Mrozek, Dariusz

A2 - Kasprowski, Pawel

A2 - Malysiak-Mrozek, Bozena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

ER -

PCA application in classification of smiling and neutral facial displays

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