NDLI: Linguistic descriptors in face recognition: A literature survey and the perspectives of future development

Content Provider	IEEE Xplore Digital Library
Author	Karczmarek, P. Kiersztyn, A. Rutka, P. Pedrycz, W.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada (Pedrycz, W.) \|\| Inst. of Math. & Comput. Sci., John Paul II Catholic Univ. of Lublin, Lublin, Poland (Karczmarek, P.; Kiersztyn, A.; Rutka, P.)
Abstract	People are highly efficient in recognizing faces. However, it is almost impossible for them to cope with huge datasets of facial images without any computational support. On the other hand, the way people describe the facial features using quite commonly encountered descriptors such as “long nose”, “small eyes” and also allude to their feelings according to a specific person like “seems to be nice”, may be utilized to enhance automatic face recognition systems. This offers an interesting possibility to incorporate human perception of faces and relations between facial features into machine-made computations. To address this aspect, one can engage the linguistic descriptors and the linguistic modeling. In this study, we present a comprehensive survey of the state-of-the-art studies and elaborate on some promising perspectives of the developments in this area.
Starting Page	98
Ending Page	103
File Size	391260
Page Count	6
File Format	PDF
ISSN	23260319
e-ISBN	9788362065233
DOI	10.1109/SPA.2015.7365141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-23
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT)
Subject Keyword	Bridges Fuzzy sets Analytic Hierarchy Process Shape Face recognition Computational modeling Human description Nose Color Eyelids Classification Linguistic descriptors
Content Type	Text
Resource Type	Article

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