Face Recognition: Shape versus Texture

Maciej Smiatacz

doi:10.1007/978-3-319-10662-5_26

Face Recognition: Shape versus Texture

Abstract

This paper describes experiments related to the application of well-known techniques of the texture feature extraction (Local Binary Patterns and Gabor filtering) to the problem of automatic face verification. Results of the tests show that simple image normalization strategy based on the eye center detection and a regular grid of fiducial points outperforms the more complicated approach, employing active models that are able to accurately locate several landmarks. On the other hand, the proposed shape descriptor provides promising results, while the texture features appear to be very sensitive to realistic illumination changes.

Citations

4

CrossRef
0

Web of Science
4

Scopus

Author (1)

Maciej Smiatacz dr inż.

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

Details

Category:: Conference activity
Type:: publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:: Image Processing & Communications Challenges 6 strony 211 - 218
Language:: English
Publication year:: 2015
Bibliographic description:: Smiatacz M.: Face Recognition: Shape versus Texture// Image Processing & Communications Challenges 6/ ed. Ryszard S. Choraś : Springer International Publishing, 2015, s.211-218
DOI:: Digital Object Identifier (open in new tab) 10.1007/978-3-319-10662-5_26
Verified by:: Gdańsk University of Technology