NDLI: Automated recognition of facial expressions authenticity

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Automated recognition of facial expressions authenticity

Content Provider	ACM Digital Library
Author	Radlak, Krystian Smolka, Bogdan
Abstract	Recognition of facial expressions authenticity is quite troublesome for humans. Therefore, it is an interesting topic for the computer vision community, as the developed algorithms for facial expressions authenticity estimation may be used as indicators of deception. This paper discusses the state-of-the art methods developed for smile veracity estimation and proposes a plan of development and validation of a novel approach to automated discrimination between genuine and posed facial expressions. The proposed fully automated technique is based on the extension of the high-dimensional Local Binary Patterns (LBP) to the spatio-temporal domain and combines them with the dynamics of facial landmarks movements. The proposed technique will be validated on several existing smile databases and a novel database created with the use of a high speed camera. Finally, the developed framework will be applied for the detection of deception in real life scenarios. .
Starting Page	577
Ending Page	581
Page Count	5
File Format	PDF
ISBN	9781450345569
DOI	10.1145/2993148.2997624
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Facial expressions recognition Smile genuineness Facial expressions spontaneity Human-computer interaction Deception detection
Content Type	Text
Resource Type	Article

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